Overview

Dataset statistics

Number of variables252
Number of observations484
Missing cells93775
Missing cells (%)76.9%
Total size in memory5.5 MiB
Average record size in memory11.7 KiB

Variable types

Numeric1
Text145
Unsupported106

Alerts

revealed_prog2 has constant value ""Constant
prefnote_prog4 has constant value ""Constant
selectioncriteria3_prog4 has constant value ""Constant
revealed_prog4 has constant value ""Constant
geapps_prog5 has constant value ""Constant
swdapps_prog5 has constant value ""Constant
geappsperseat_prog5 has constant value ""Constant
swdappsperseat_prog5 has constant value ""Constant
swdseats_prog5 has constant value ""Constant
geseats_prog5 has constant value ""Constant
code_prog6 has constant value ""Constant
name_prog6 has constant value ""Constant
admissionsmethod_prog6 has constant value ""Constant
eligibility_prog6 has constant value ""Constant
selectioncriteria1_prog6 has constant value ""Constant
subway has 120 (24.8%) missing valuesMissing
code_prog1 has 9 (1.9%) missing valuesMissing
geapps_prog1 has 75 (15.5%) missing valuesMissing
swdapps_prog1 has 75 (15.5%) missing valuesMissing
geappsperseat_prog1 has 77 (15.9%) missing valuesMissing
swdappsperseat_prog1 has 82 (16.9%) missing valuesMissing
swdseats_prog1 has 66 (13.6%) missing valuesMissing
geseats_prog1 has 128 (26.4%) missing valuesMissing
gefilled_prog1 has 76 (15.7%) missing valuesMissing
swdfilled_prog1 has 77 (15.9%) missing valuesMissing
eligibility_prog1 has 7 (1.4%) missing valuesMissing
priority1_prog1 has 181 (37.4%) missing valuesMissing
priority2_prog1 has 185 (38.2%) missing valuesMissing
priority3_prog1 has 384 (79.3%) missing valuesMissing
priority4_prog1 has 436 (90.1%) missing valuesMissing
priority5_prog1 has 484 (100.0%) missing valuesMissing
priority6_prog1 has 484 (100.0%) missing valuesMissing
priority7_prog1 has 484 (100.0%) missing valuesMissing
prefnote_prog1 has 469 (96.9%) missing valuesMissing
lowestpriority_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog1 has 58 (12.0%) missing valuesMissing
selectioncriteria2_prog1 has 318 (65.7%) missing valuesMissing
selectioncriteria3_prog1 has 321 (66.3%) missing valuesMissing
selectioncriteria4_prog1 has 335 (69.2%) missing valuesMissing
selectioncriteria5_prog1 has 370 (76.4%) missing valuesMissing
selectioncriteria6_prog1 has 440 (90.9%) missing valuesMissing
selectioncriteria7_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog1 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog1 has 484 (100.0%) missing valuesMissing
revealed_prog1 has 484 (100.0%) missing valuesMissing
code_prog2 has 376 (77.7%) missing valuesMissing
name_prog2 has 377 (77.9%) missing valuesMissing
admissionsmethod_prog2 has 377 (77.9%) missing valuesMissing
geapps_prog2 has 459 (94.8%) missing valuesMissing
swdapps_prog2 has 459 (94.8%) missing valuesMissing
geappsperseat_prog2 has 459 (94.8%) missing valuesMissing
swdappsperseat_prog2 has 459 (94.8%) missing valuesMissing
swdseats_prog2 has 462 (95.5%) missing valuesMissing
geseats_prog2 has 462 (95.5%) missing valuesMissing
gefilled_prog2 has 422 (87.2%) missing valuesMissing
swdfilled_prog2 has 422 (87.2%) missing valuesMissing
eligibility_prog2 has 377 (77.9%) missing valuesMissing
priority1_prog2 has 453 (93.6%) missing valuesMissing
priority2_prog2 has 453 (93.6%) missing valuesMissing
priority3_prog2 has 484 (100.0%) missing valuesMissing
priority4_prog2 has 484 (100.0%) missing valuesMissing
priority5_prog2 has 484 (100.0%) missing valuesMissing
priority6_prog2 has 484 (100.0%) missing valuesMissing
priority7_prog2 has 484 (100.0%) missing valuesMissing
prefnote_prog2 has 475 (98.1%) missing valuesMissing
lowestpriority_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog2 has 415 (85.7%) missing valuesMissing
selectioncriteria2_prog2 has 458 (94.6%) missing valuesMissing
selectioncriteria3_prog2 has 458 (94.6%) missing valuesMissing
selectioncriteria4_prog2 has 460 (95.0%) missing valuesMissing
selectioncriteria5_prog2 has 465 (96.1%) missing valuesMissing
selectioncriteria6_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria7_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog2 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog2 has 484 (100.0%) missing valuesMissing
revealed_prog2 has 481 (99.4%) missing valuesMissing
code_prog3 has 455 (94.0%) missing valuesMissing
name_prog3 has 455 (94.0%) missing valuesMissing
admissionsmethod_prog3 has 455 (94.0%) missing valuesMissing
geapps_prog3 has 477 (98.6%) missing valuesMissing
swdapps_prog3 has 477 (98.6%) missing valuesMissing
geappsperseat_prog3 has 477 (98.6%) missing valuesMissing
swdappsperseat_prog3 has 477 (98.6%) missing valuesMissing
swdseats_prog3 has 471 (97.3%) missing valuesMissing
geseats_prog3 has 471 (97.3%) missing valuesMissing
gefilled_prog3 has 472 (97.5%) missing valuesMissing
swdfilled_prog3 has 472 (97.5%) missing valuesMissing
eligibility_prog3 has 455 (94.0%) missing valuesMissing
priority1_prog3 has 482 (99.6%) missing valuesMissing
priority2_prog3 has 482 (99.6%) missing valuesMissing
priority3_prog3 has 484 (100.0%) missing valuesMissing
priority4_prog3 has 484 (100.0%) missing valuesMissing
priority5_prog3 has 484 (100.0%) missing valuesMissing
priority6_prog3 has 484 (100.0%) missing valuesMissing
priority7_prog3 has 484 (100.0%) missing valuesMissing
prefnote_prog3 has 482 (99.6%) missing valuesMissing
lowestpriority_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog3 has 473 (97.7%) missing valuesMissing
selectioncriteria2_prog3 has 481 (99.4%) missing valuesMissing
selectioncriteria3_prog3 has 481 (99.4%) missing valuesMissing
selectioncriteria4_prog3 has 481 (99.4%) missing valuesMissing
selectioncriteria5_prog3 has 481 (99.4%) missing valuesMissing
selectioncriteria6_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria7_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog3 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog3 has 484 (100.0%) missing valuesMissing
revealed_prog3 has 484 (100.0%) missing valuesMissing
code_prog4 has 479 (99.0%) missing valuesMissing
name_prog4 has 479 (99.0%) missing valuesMissing
admissionsmethod_prog4 has 479 (99.0%) missing valuesMissing
geapps_prog4 has 482 (99.6%) missing valuesMissing
swdapps_prog4 has 482 (99.6%) missing valuesMissing
geappsperseat_prog4 has 482 (99.6%) missing valuesMissing
swdappsperseat_prog4 has 482 (99.6%) missing valuesMissing
swdseats_prog4 has 482 (99.6%) missing valuesMissing
geseats_prog4 has 482 (99.6%) missing valuesMissing
gefilled_prog4 has 482 (99.6%) missing valuesMissing
swdfilled_prog4 has 482 (99.6%) missing valuesMissing
eligibility_prog4 has 479 (99.0%) missing valuesMissing
priority1_prog4 has 484 (100.0%) missing valuesMissing
priority2_prog4 has 484 (100.0%) missing valuesMissing
priority3_prog4 has 484 (100.0%) missing valuesMissing
priority4_prog4 has 484 (100.0%) missing valuesMissing
priority5_prog4 has 484 (100.0%) missing valuesMissing
priority6_prog4 has 484 (100.0%) missing valuesMissing
priority7_prog4 has 484 (100.0%) missing valuesMissing
prefnote_prog4 has 483 (99.8%) missing valuesMissing
lowestpriority_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog4 has 481 (99.4%) missing valuesMissing
selectioncriteria2_prog4 has 482 (99.6%) missing valuesMissing
selectioncriteria3_prog4 has 482 (99.6%) missing valuesMissing
selectioncriteria4_prog4 has 482 (99.6%) missing valuesMissing
selectioncriteria5_prog4 has 482 (99.6%) missing valuesMissing
selectioncriteria6_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria7_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog4 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog4 has 484 (100.0%) missing valuesMissing
revealed_prog4 has 482 (99.6%) missing valuesMissing
code_prog5 has 482 (99.6%) missing valuesMissing
name_prog5 has 482 (99.6%) missing valuesMissing
admissionsmethod_prog5 has 482 (99.6%) missing valuesMissing
geapps_prog5 has 483 (99.8%) missing valuesMissing
swdapps_prog5 has 483 (99.8%) missing valuesMissing
geappsperseat_prog5 has 483 (99.8%) missing valuesMissing
swdappsperseat_prog5 has 483 (99.8%) missing valuesMissing
swdseats_prog5 has 483 (99.8%) missing valuesMissing
geseats_prog5 has 483 (99.8%) missing valuesMissing
gefilled_prog5 has 484 (100.0%) missing valuesMissing
swdfilled_prog5 has 484 (100.0%) missing valuesMissing
eligibility_prog5 has 482 (99.6%) missing valuesMissing
priority1_prog5 has 484 (100.0%) missing valuesMissing
priority2_prog5 has 484 (100.0%) missing valuesMissing
priority3_prog5 has 484 (100.0%) missing valuesMissing
priority4_prog5 has 484 (100.0%) missing valuesMissing
priority5_prog5 has 484 (100.0%) missing valuesMissing
priority6_prog5 has 484 (100.0%) missing valuesMissing
priority7_prog5 has 484 (100.0%) missing valuesMissing
prefnote_prog5 has 484 (100.0%) missing valuesMissing
lowestpriority_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria2_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria3_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria4_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria5_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria6_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria7_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog5 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog5 has 484 (100.0%) missing valuesMissing
revealed_prog5 has 484 (100.0%) missing valuesMissing
code_prog6 has 483 (99.8%) missing valuesMissing
name_prog6 has 483 (99.8%) missing valuesMissing
admissionsmethod_prog6 has 483 (99.8%) missing valuesMissing
geapps_prog6 has 484 (100.0%) missing valuesMissing
swdapps_prog6 has 484 (100.0%) missing valuesMissing
geappsperseat_prog6 has 484 (100.0%) missing valuesMissing
swdappsperseat_prog6 has 484 (100.0%) missing valuesMissing
swdseats_prog6 has 484 (100.0%) missing valuesMissing
geseats_prog6 has 484 (100.0%) missing valuesMissing
gefilled_prog6 has 484 (100.0%) missing valuesMissing
swdfilled_prog6 has 484 (100.0%) missing valuesMissing
eligibility_prog6 has 483 (99.8%) missing valuesMissing
priority1_prog6 has 484 (100.0%) missing valuesMissing
priority2_prog6 has 484 (100.0%) missing valuesMissing
priority3_prog6 has 484 (100.0%) missing valuesMissing
priority4_prog6 has 484 (100.0%) missing valuesMissing
priority5_prog6 has 484 (100.0%) missing valuesMissing
priority6_prog6 has 484 (100.0%) missing valuesMissing
priority7_prog6 has 484 (100.0%) missing valuesMissing
prefnote_prog6 has 484 (100.0%) missing valuesMissing
lowestpriority_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria1_prog6 has 483 (99.8%) missing valuesMissing
selectioncriteria2_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria3_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria4_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria5_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria6_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria7_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria8_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria9_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria10_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria11_prog6 has 484 (100.0%) missing valuesMissing
selectioncriteria12_prog6 has 484 (100.0%) missing valuesMissing
revealed_prog6 has 484 (100.0%) missing valuesMissing
coursepassrate has 268 (55.4%) missing valuesMissing
elaprof has 268 (55.4%) missing valuesMissing
mathprof has 268 (55.4%) missing valuesMissing
tophs1 has 22 (4.5%) missing valuesMissing
tophs2 has 157 (32.4%) missing valuesMissing
tophs3 has 233 (48.1%) missing valuesMissing
surveysafety has 268 (55.4%) missing valuesMissing
totalstudents has 266 (55.0%) missing valuesMissing
languageclasses has 120 (24.8%) missing valuesMissing
acceleratedclasses has 138 (28.5%) missing valuesMissing
electiveclasses has 77 (15.9%) missing valuesMissing
activities has 9 (1.9%) missing valuesMissing
champsboys has 367 (75.8%) missing valuesMissing
champsgirls has 371 (76.7%) missing valuesMissing
champscoed has 172 (35.5%) missing valuesMissing
othersports has 46 (9.5%) missing valuesMissing
bin has 5 (1.0%) missing valuesMissing
bbl has 5 (1.0%) missing valuesMissing
0 has unique valuesUnique
schooldbn has unique valuesUnique
printedschoolname has unique valuesUnique
priority5_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
revealed_prog1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority3_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority4_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority5_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria6_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority3_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority4_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority5_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria6_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
revealed_prog3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority1_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority2_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority3_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority4_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority5_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria6_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
gefilled_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
swdfilled_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority1_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority2_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority3_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority4_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority5_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
prefnote_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria1_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria2_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria3_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria4_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria5_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria6_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
revealed_prog5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
geapps_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
swdapps_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
geappsperseat_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
swdappsperseat_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
swdseats_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
geseats_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
gefilled_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
swdfilled_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority1_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority2_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority3_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority4_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority5_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority6_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
priority7_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
prefnote_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
lowestpriority_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria2_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria3_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria4_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria5_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria6_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria7_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria8_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria9_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria10_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria11_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
selectioncriteria12_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
revealed_prog6 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-09 22:31:36.222504
Analysis finished2023-12-09 22:31:43.080208
Duration6.86 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

0
Real number (ℝ)

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.5
Minimum1
Maximum484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2023-12-09T22:31:43.205002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.15
Q1121.75
median242.5
Q3363.25
95-th percentile459.85
Maximum484
Range483
Interquartile range (IQR)241.5

Descriptive statistics

Standard deviation139.8630282
Coefficient of variation (CV)0.5767547556
Kurtosis-1.2
Mean242.5
Median Absolute Deviation (MAD)121
Skewness0
Sum117370
Variance19561.66667
MonotonicityStrictly increasing
2023-12-09T22:31:43.377913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
304 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
327 1
 
0.2%
326 1
 
0.2%
325 1
 
0.2%
Other values (474) 474
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
ValueCountFrequency (%)
484 1
0.2%
483 1
0.2%
482 1
0.2%
481 1
0.2%
480 1
0.2%
Distinct32
Distinct (%)6.6%
Missing2
Missing (%)0.4%
Memory size27.8 KiB
2023-12-09T22:31:43.627947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.676348548
Min length1

Characters and Unicode

Total characters808
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row6
3rd row6
4th row6
5th row6
ValueCountFrequency (%)
10 27
 
5.6%
9 25
 
5.2%
2 24
 
5.0%
27 23
 
4.8%
6 20
 
4.1%
11 20
 
4.1%
3 20
 
4.1%
12 18
 
3.7%
29 17
 
3.5%
8 17
 
3.5%
Other values (22) 271
56.2%
2023-12-09T22:31:43.976363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 206
25.5%
1 203
25.1%
3 85
10.5%
0 57
 
7.1%
9 57
 
7.1%
7 52
 
6.4%
8 40
 
5.0%
4 40
 
5.0%
5 36
 
4.5%
6 32
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 808
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 206
25.5%
1 203
25.1%
3 85
10.5%
0 57
 
7.1%
9 57
 
7.1%
7 52
 
6.4%
8 40
 
5.0%
4 40
 
5.0%
5 36
 
4.5%
6 32
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 808
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 206
25.5%
1 203
25.1%
3 85
10.5%
0 57
 
7.1%
9 57
 
7.1%
7 52
 
6.4%
8 40
 
5.0%
4 40
 
5.0%
5 36
 
4.5%
6 32
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 206
25.5%
1 203
25.1%
3 85
10.5%
0 57
 
7.1%
9 57
 
7.1%
7 52
 
6.4%
8 40
 
5.0%
4 40
 
5.0%
5 36
 
4.5%
6 32
 
4.0%

schooldbn
Text

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size29.9 KiB
2023-12-09T22:31:44.394593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2904
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique484 ?
Unique (%)100.0%

Sample

1st row06M018
2nd row06M052
3rd row06M143
4th row06M187
5th row06M209
ValueCountFrequency (%)
10x228 1
 
0.2%
12x129 1
 
0.2%
17k394 1
 
0.2%
21k098 1
 
0.2%
06m328 1
 
0.2%
08x376 1
 
0.2%
03m165 1
 
0.2%
23k184 1
 
0.2%
12x212 1
 
0.2%
07x031 1
 
0.2%
Other values (474) 474
97.9%
2023-12-09T22:31:44.938834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 443
15.3%
1 401
13.8%
0 389
13.4%
3 259
8.9%
4 172
 
5.9%
8 165
 
5.7%
7 150
 
5.2%
5 148
 
5.1%
9 148
 
5.1%
6 145
 
5.0%
Other values (5) 484
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2420
83.3%
Uppercase Letter 484
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 443
18.3%
1 401
16.6%
0 389
16.1%
3 259
10.7%
4 172
 
7.1%
8 165
 
6.8%
7 150
 
6.2%
5 148
 
6.1%
9 148
 
6.1%
6 145
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
K 143
29.5%
X 120
24.8%
Q 104
21.5%
M 102
21.1%
R 15
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2420
83.3%
Latin 484
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
2 443
18.3%
1 401
16.6%
0 389
16.1%
3 259
10.7%
4 172
 
7.1%
8 165
 
6.8%
7 150
 
6.2%
5 148
 
6.1%
9 148
 
6.1%
6 145
 
6.0%
Latin
ValueCountFrequency (%)
K 143
29.5%
X 120
24.8%
Q 104
21.5%
M 102
21.1%
R 15
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 443
15.3%
1 401
13.8%
0 389
13.4%
3 259
8.9%
4 172
 
5.9%
8 165
 
5.7%
7 150
 
5.2%
5 148
 
5.1%
9 148
 
5.1%
6 145
 
5.0%
Other values (5) 484
16.7%

printedschoolname
Text

UNIQUE 

Distinct484
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size43.1 KiB
2023-12-09T22:31:45.299040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length94
Median length61
Mean length33.79132231
Min length7

Characters and Unicode

Total characters16355
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique484 ?
Unique (%)100.0%

Sample

1st rowPark Terrace (P.S. 18)
2nd rowI.S. 52 (Inwood Intermediate School 52)
3rd rowEleanor Roosevelt Intermediate School (I.S. 143)
4th rowHudson Cliffs School (P.S./I.S. 187)
5th rowHamilton Grange Middle School
ValueCountFrequency (%)
school 242
 
9.5%
the 121
 
4.8%
academy 84
 
3.3%
i.s 69
 
2.7%
middle 64
 
2.5%
for 60
 
2.4%
m.s 54
 
2.1%
of 47
 
1.9%
and 46
 
1.8%
p.s./i.s 41
 
1.6%
Other values (912) 1712
67.4%
2023-12-09T22:31:45.817700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2056
 
12.6%
e 1155
 
7.1%
o 1131
 
6.9%
. 824
 
5.0%
a 771
 
4.7%
l 744
 
4.5%
S 732
 
4.5%
r 655
 
4.0%
n 638
 
3.9%
c 558
 
3.4%
Other values (65) 7091
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9422
57.6%
Uppercase Letter 2630
 
16.1%
Space Separator 2056
 
12.6%
Other Punctuation 965
 
5.9%
Decimal Number 783
 
4.8%
Open Punctuation 244
 
1.5%
Close Punctuation 244
 
1.5%
Dash Punctuation 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1155
12.3%
o 1131
12.0%
a 771
 
8.2%
l 744
 
7.9%
r 655
 
7.0%
n 638
 
6.8%
c 558
 
5.9%
h 550
 
5.8%
i 546
 
5.8%
d 475
 
5.0%
Other values (17) 2199
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 732
27.8%
M 261
 
9.9%
P 208
 
7.9%
A 197
 
7.5%
I 178
 
6.8%
T 153
 
5.8%
C 119
 
4.5%
H 103
 
3.9%
E 90
 
3.4%
L 82
 
3.1%
Other values (16) 507
19.3%
Decimal Number
ValueCountFrequency (%)
2 146
18.6%
1 145
18.5%
3 87
11.1%
8 73
9.3%
7 62
7.9%
4 61
7.8%
9 56
 
7.2%
5 55
 
7.0%
0 54
 
6.9%
6 44
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 824
85.4%
/ 87
 
9.0%
, 18
 
1.9%
& 15
 
1.6%
: 11
 
1.1%
' 8
 
0.8%
" 2
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 10
90.9%
1
 
9.1%
Space Separator
ValueCountFrequency (%)
2056
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12052
73.7%
Common 4303
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1155
 
9.6%
o 1131
 
9.4%
a 771
 
6.4%
l 744
 
6.2%
S 732
 
6.1%
r 655
 
5.4%
n 638
 
5.3%
c 558
 
4.6%
h 550
 
4.6%
i 546
 
4.5%
Other values (43) 4572
37.9%
Common
ValueCountFrequency (%)
2056
47.8%
. 824
19.1%
( 244
 
5.7%
) 244
 
5.7%
2 146
 
3.4%
1 145
 
3.4%
/ 87
 
2.0%
3 87
 
2.0%
8 73
 
1.7%
7 62
 
1.4%
Other values (12) 335
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16353
> 99.9%
Punctuation 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2056
 
12.6%
e 1155
 
7.1%
o 1131
 
6.9%
. 824
 
5.0%
a 771
 
4.7%
l 744
 
4.5%
S 732
 
4.5%
r 655
 
4.0%
n 638
 
3.9%
c 558
 
3.4%
Other values (63) 7089
43.3%
Punctuation
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
ñ 1
100.0%
Distinct475
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size461.3 KiB
2023-12-09T22:31:46.194854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1795
Median length990.5
Mean length826.5454545
Min length47

Characters and Unicode

Total characters400048
Distinct characters86
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)97.7%

Sample

1st rowOur school is a close-knit learning community where teachers create a family-type environment focused on technology and the arts. We focus on the individual student and foster an environment that encourages students to take risks. Our focus on transitional bilingual courses, monolingual courses, and dual language education in Spanish and English supports academic excellence across all content areas. We engage our parents in school-wide events and gatherings focused on building community. Our parents are at the heart of our efforts. Parents appreciate our non-negotiable uniform policy, excellent discipline and communication protocol, and our administration's open door policy. Many of our students are new arrivals from the Dominican Republic. Our school engages in a variety of programs celebrating literacy and the arts as well as STEM across grades.
2nd rowOur teacher-designed curriculum is tailored to both challenge and support the needs of our students. As an Apple ConnectED school, every student is given an iPad and every classroom has the technology necessary to engage in feature rich, interactive activities. Our school offers a variety of after-school programs in partnership with the Inwood Community Center. We offer a one-to-one tutoring program, Saturday Enrichment, and a Saturday Academy for students who require additional support in ELA and math. Our school also has a student advisory/ambassador program designed to teach students the skills they need to become leaders in their community. Our school offers art and music and we have the only middle school marching band in NYC, the Tiger Band! We are also an Urban Advantage school. Urban Advantage is a program for middle school students to take field trips to educational institutions such as the Bronx Zoo, and Hall of Science, to enrich Science instruction. I.S. 52 is also a participant of the Games 4 Change student challenge, where students learn how to create and publish their own video games around an important social theme. Starting in the 2017-2018 school year, we will also be offering instruction in Computer Science.
3rd rowWe provide students with a curriculum and skills that promote personal growth and high standards. We believe that a love of learning flourishes in our diverse community that respects truth, curiosity, creativity, humor, and independent thinking. We are dedicated to fostering academic excellence and promoting dignity and respect for all individuals in our school community.
4th row"We are now at a point where we must educate our children in what no one knew yesterday, and prepare our schools for what no one knows yet."- Margaret Mead. Hudson Cliffs School is a pre-K-8 neighborhood school which thrives on its diversity and strong parental involvement. Students enjoy being part of this community while parents appreciate the stable and secure environment.
5th row"The most dangerous criminal may be the man gifted with reason, but with no morals...the complete education gives one not only power of concentration, but worthy objectives upon which to concentrate." -Martin Luther King, Jr. Hamilton Grange is founded on the desire to build intelligence and character in our students, because in the words of Dr. King, "that is the goal of a true education." We teach argumentative writing throughout all content areas. It is the foundation of each of our classes because we have found that it is the most effective means of supporting college readiness and enabling our students to, in Dr. King's words, "sift and weigh evidence, to discern the true from the false, the real from the unreal, and the facts from the fiction." This combination of skills and knowledge will prepare students for both college and active citizenship. We also champion character development and equip students with the skills and behaviors necessary for academic and social success.
ValueCountFrequency (%)
and 3312
 
5.6%
the 2027
 
3.4%
to 1831
 
3.1%
students 1577
 
2.7%
our 1571
 
2.6%
a 1353
 
2.3%
of 1324
 
2.2%
in 1232
 
2.1%
school 1112
 
1.9%
we 878
 
1.5%
Other values (4917) 43123
72.7%
2023-12-09T22:31:46.752266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58856
14.7%
e 37771
 
9.4%
t 27393
 
6.8%
a 25762
 
6.4%
o 24366
 
6.1%
n 24271
 
6.1%
i 23427
 
5.9%
r 22098
 
5.5%
s 22027
 
5.5%
l 15099
 
3.8%
Other values (76) 118978
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 319160
79.8%
Space Separator 58856
 
14.7%
Uppercase Letter 10385
 
2.6%
Other Punctuation 8551
 
2.1%
Decimal Number 1371
 
0.3%
Dash Punctuation 1222
 
0.3%
Close Punctuation 226
 
0.1%
Open Punctuation 222
 
0.1%
Final Punctuation 44
 
< 0.1%
Initial Punctuation 7
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 37771
11.8%
t 27393
 
8.6%
a 25762
 
8.1%
o 24366
 
7.6%
n 24271
 
7.6%
i 23427
 
7.3%
r 22098
 
6.9%
s 22027
 
6.9%
l 15099
 
4.7%
c 14118
 
4.4%
Other values (16) 82828
26.0%
Uppercase Letter
ValueCountFrequency (%)
S 1660
16.0%
A 1006
9.7%
T 801
 
7.7%
P 784
 
7.5%
W 761
 
7.3%
C 737
 
7.1%
M 615
 
5.9%
O 581
 
5.6%
E 519
 
5.0%
I 468
 
4.5%
Other values (16) 2453
23.6%
Other Punctuation
ValueCountFrequency (%)
, 4118
48.2%
. 3650
42.7%
' 291
 
3.4%
/ 145
 
1.7%
: 121
 
1.4%
" 96
 
1.1%
; 39
 
0.5%
& 38
 
0.4%
! 31
 
0.4%
% 19
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 281
20.5%
1 271
19.8%
0 198
14.4%
5 111
 
8.1%
8 111
 
8.1%
3 107
 
7.8%
9 81
 
5.9%
6 77
 
5.6%
7 73
 
5.3%
4 61
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 1188
97.2%
31
 
2.5%
3
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 224
99.1%
] 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 220
99.1%
[ 2
 
0.9%
Final Punctuation
ValueCountFrequency (%)
37
84.1%
7
 
15.9%
Space Separator
ValueCountFrequency (%)
58856
100.0%
Initial Punctuation
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 329545
82.4%
Common 70503
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 37771
11.5%
t 27393
 
8.3%
a 25762
 
7.8%
o 24366
 
7.4%
n 24271
 
7.4%
i 23427
 
7.1%
r 22098
 
6.7%
s 22027
 
6.7%
l 15099
 
4.6%
c 14118
 
4.3%
Other values (42) 93213
28.3%
Common
ValueCountFrequency (%)
58856
83.5%
, 4118
 
5.8%
. 3650
 
5.2%
- 1188
 
1.7%
' 291
 
0.4%
2 281
 
0.4%
1 271
 
0.4%
) 224
 
0.3%
( 220
 
0.3%
0 198
 
0.3%
Other values (24) 1206
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 399963
> 99.9%
Punctuation 85
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58856
14.7%
e 37771
 
9.4%
t 27393
 
6.8%
a 25762
 
6.4%
o 24366
 
6.1%
n 24271
 
6.1%
i 23427
 
5.9%
r 22098
 
5.5%
s 22027
 
5.5%
l 15099
 
3.8%
Other values (71) 118893
29.7%
Punctuation
ValueCountFrequency (%)
37
43.5%
31
36.5%
7
 
8.2%
7
 
8.2%
3
 
3.5%
Distinct191
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size33.5 KiB
2023-12-09T22:31:47.084850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length36
Median length26
Mean length13.52479339
Min length6

Characters and Unicode

Total characters6546
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)16.5%

Sample

1st rowInwood
2nd rowInwood
3rd rowWashington Heights
4th rowWashington Heights
5th rowManhattanville
ValueCountFrequency (%)
east 72
 
8.0%
heights 40
 
4.5%
park 33
 
3.7%
harlem 27
 
3.0%
village 24
 
2.7%
side 20
 
2.2%
south 18
 
2.0%
gardens 16
 
1.8%
west 15
 
1.7%
new 14
 
1.6%
Other values (199) 619
68.9%
2023-12-09T22:31:47.571051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 558
 
8.5%
a 496
 
7.6%
r 439
 
6.7%
o 437
 
6.7%
t 432
 
6.6%
414
 
6.3%
s 394
 
6.0%
n 378
 
5.8%
l 343
 
5.2%
i 338
 
5.2%
Other values (43) 2317
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5087
77.7%
Uppercase Letter 970
 
14.8%
Space Separator 414
 
6.3%
Dash Punctuation 63
 
1.0%
Other Punctuation 12
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 558
11.0%
a 496
9.8%
r 439
8.6%
o 437
8.6%
t 432
 
8.5%
s 394
 
7.7%
n 378
 
7.4%
l 343
 
6.7%
i 338
 
6.6%
h 188
 
3.7%
Other values (15) 1084
21.3%
Uppercase Letter
ValueCountFrequency (%)
H 126
13.0%
C 97
 
10.0%
B 97
 
10.0%
E 89
 
9.2%
S 88
 
9.1%
P 60
 
6.2%
M 59
 
6.1%
W 40
 
4.1%
G 36
 
3.7%
N 35
 
3.6%
Other values (14) 243
25.1%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
' 1
 
8.3%
Space Separator
ValueCountFrequency (%)
414
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6057
92.5%
Common 489
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 558
 
9.2%
a 496
 
8.2%
r 439
 
7.2%
o 437
 
7.2%
t 432
 
7.1%
s 394
 
6.5%
n 378
 
6.2%
l 343
 
5.7%
i 338
 
5.6%
h 188
 
3.1%
Other values (39) 2054
33.9%
Common
ValueCountFrequency (%)
414
84.7%
- 63
 
12.9%
. 11
 
2.2%
' 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 558
 
8.5%
a 496
 
7.6%
r 439
 
6.7%
o 437
 
6.7%
t 432
 
6.6%
414
 
6.3%
s 394
 
6.0%
n 378
 
5.8%
l 343
 
5.2%
i 338
 
5.2%
Other values (43) 2317
35.4%
Distinct419
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size44.7 KiB
2023-12-09T22:31:47.987763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length53
Median length43
Mean length37.30165289
Min length29

Characters and Unicode

Total characters18054
Distinct characters61
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)74.2%

Sample

1st row4124 9th Avenue, Manhattan NY 10034
2nd row650 Academy Street, Manhattan NY 10034
3rd row511 West 182nd Street, Manhattan NY 10033
4th row349 Cabrini Boulevard, Manhattan NY 10040
5th row500 West 138th Street, Manhattan NY 10031
ValueCountFrequency (%)
ny 484
 
15.8%
street 218
 
7.1%
avenue 195
 
6.4%
brooklyn 143
 
4.7%
bronx 120
 
3.9%
queens 101
 
3.3%
manhattan 100
 
3.3%
east 60
 
2.0%
west 47
 
1.5%
boulevard 19
 
0.6%
Other values (854) 1575
51.4%
2023-12-09T22:31:48.529109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2579
 
14.3%
e 1384
 
7.7%
1 1294
 
7.2%
t 1071
 
5.9%
n 963
 
5.3%
0 818
 
4.5%
r 711
 
3.9%
a 646
 
3.6%
o 629
 
3.5%
2 541
 
3.0%
Other values (51) 7418
41.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7935
44.0%
Decimal Number 4551
25.2%
Space Separator 2579
 
14.3%
Uppercase Letter 2397
 
13.3%
Other Punctuation 491
 
2.7%
Dash Punctuation 101
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1384
17.4%
t 1071
13.5%
n 963
12.1%
r 711
9.0%
a 646
8.1%
o 629
7.9%
u 362
 
4.6%
s 333
 
4.2%
h 305
 
3.8%
l 282
 
3.6%
Other values (14) 1249
15.7%
Uppercase Letter
ValueCountFrequency (%)
N 500
20.9%
Y 491
20.5%
B 328
13.7%
S 260
10.8%
A 206
8.6%
M 125
 
5.2%
Q 102
 
4.3%
W 74
 
3.1%
E 68
 
2.8%
P 39
 
1.6%
Other values (13) 204
8.5%
Decimal Number
ValueCountFrequency (%)
1 1294
28.4%
0 818
18.0%
2 541
11.9%
4 396
 
8.7%
3 371
 
8.2%
5 356
 
7.8%
6 253
 
5.6%
7 214
 
4.7%
8 161
 
3.5%
9 147
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 489
99.6%
' 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10332
57.2%
Common 7722
42.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1384
13.4%
t 1071
 
10.4%
n 963
 
9.3%
r 711
 
6.9%
a 646
 
6.3%
o 629
 
6.1%
N 500
 
4.8%
Y 491
 
4.8%
u 362
 
3.5%
s 333
 
3.2%
Other values (37) 3242
31.4%
Common
ValueCountFrequency (%)
2579
33.4%
1 1294
16.8%
0 818
 
10.6%
2 541
 
7.0%
, 489
 
6.3%
4 396
 
5.1%
3 371
 
4.8%
5 356
 
4.6%
6 253
 
3.3%
7 214
 
2.8%
Other values (4) 411
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2579
 
14.3%
e 1384
 
7.7%
1 1294
 
7.2%
t 1071
 
5.9%
n 963
 
5.3%
0 818
 
4.5%
r 711
 
3.9%
a 646
 
3.6%
o 629
 
3.5%
2 541
 
3.0%
Other values (51) 7418
41.1%
Distinct267
Distinct (%)55.3%
Missing1
Missing (%)0.2%
Memory size50.7 KiB
2023-12-09T22:31:48.928581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length50
Mean length16.80331263
Min length2

Characters and Unicode

Total characters8116
Distinct characters25
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)42.2%

Sample

1st rowNo
2nd rowYes–06M052, 06M211, 06M423
3rd rowYes–06M143, 06M348
4th rowNo
5th rowYes–06M192, 06M209
ValueCountFrequency (%)
no 150
 
14.4%
75x010 8
 
0.8%
75k053 7
 
0.7%
75m138 7
 
0.7%
75q233 6
 
0.6%
75k771 5
 
0.5%
75x168 5
 
0.5%
75r025 4
 
0.4%
75k369 4
 
0.4%
84k538 4
 
0.4%
Other values (614) 844
80.8%
2023-12-09T22:31:49.483553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 623
 
7.7%
1 606
 
7.5%
0 586
 
7.2%
561
 
6.9%
, 561
 
6.9%
3 516
 
6.4%
5 412
 
5.1%
4 412
 
5.1%
7 410
 
5.1%
8 377
 
4.6%
Other values (15) 3052
37.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4468
55.1%
Uppercase Letter 1376
 
17.0%
Lowercase Letter 816
 
10.1%
Other Punctuation 563
 
6.9%
Space Separator 561
 
6.9%
Dash Punctuation 332
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 623
13.9%
1 606
13.6%
0 586
13.1%
3 516
11.5%
5 412
9.2%
4 412
9.2%
7 410
9.2%
8 377
8.4%
9 271
6.1%
6 255
5.7%
Uppercase Letter
ValueCountFrequency (%)
Y 333
24.2%
X 284
20.6%
K 262
19.0%
M 178
12.9%
N 150
10.9%
Q 145
10.5%
R 24
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
s 333
40.8%
e 333
40.8%
o 150
18.4%
Other Punctuation
ValueCountFrequency (%)
, 561
99.6%
? 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
173
52.1%
159
47.9%
Space Separator
ValueCountFrequency (%)
561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5924
73.0%
Latin 2192
 
27.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 623
10.5%
1 606
10.2%
0 586
9.9%
561
9.5%
, 561
9.5%
3 516
8.7%
5 412
7.0%
4 412
7.0%
7 410
6.9%
8 377
6.4%
Other values (5) 860
14.5%
Latin
ValueCountFrequency (%)
s 333
15.2%
e 333
15.2%
Y 333
15.2%
X 284
13.0%
K 262
12.0%
M 178
8.1%
N 150
6.8%
o 150
6.8%
Q 145
6.6%
R 24
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7784
95.9%
Punctuation 332
 
4.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 623
 
8.0%
1 606
 
7.8%
0 586
 
7.5%
561
 
7.2%
, 561
 
7.2%
3 516
 
6.6%
5 412
 
5.3%
4 412
 
5.3%
7 410
 
5.3%
8 377
 
4.8%
Other values (13) 2720
34.9%
Punctuation
ValueCountFrequency (%)
173
52.1%
159
47.9%
Distinct2
Distinct (%)0.4%
Missing3
Missing (%)0.6%
Memory size32.6 KiB
2023-12-09T22:31:49.668045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length14
Median length10
Mean length11.83783784
Min length10

Characters and Unicode

Total characters5694
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAccessible
2nd rowNot Accessible
3rd rowAccessible
4th rowNot Accessible
5th rowAccessible
ValueCountFrequency (%)
accessible 481
68.5%
not 221
31.5%
2023-12-09T22:31:49.961984image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
c 962
16.9%
e 962
16.9%
s 962
16.9%
A 481
8.4%
i 481
8.4%
b 481
8.4%
l 481
8.4%
N 221
 
3.9%
o 221
 
3.9%
t 221
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4771
83.8%
Uppercase Letter 702
 
12.3%
Space Separator 221
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 962
20.2%
e 962
20.2%
s 962
20.2%
i 481
10.1%
b 481
10.1%
l 481
10.1%
o 221
 
4.6%
t 221
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 481
68.5%
N 221
31.5%
Space Separator
ValueCountFrequency (%)
221
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5473
96.1%
Common 221
 
3.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 962
17.6%
e 962
17.6%
s 962
17.6%
A 481
8.8%
i 481
8.8%
b 481
8.8%
l 481
8.8%
N 221
 
4.0%
o 221
 
4.0%
t 221
 
4.0%
Common
ValueCountFrequency (%)
221
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 962
16.9%
e 962
16.9%
s 962
16.9%
A 481
8.4%
i 481
8.4%
b 481
8.4%
l 481
8.4%
N 221
 
3.9%
o 221
 
3.9%
t 221
 
3.9%
Distinct482
Distinct (%)100.0%
Missing2
Missing (%)0.4%
Memory size32.7 KiB
2023-12-09T22:31:50.298598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5784
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique482 ?
Unique (%)100.0%

Sample

1st row917-521-2220
2nd row212-567-9162
3rd row212-927-7739
4th row212-927-8218
5th row212-775-9600
ValueCountFrequency (%)
718-366-7120 1
 
0.2%
718-432-4300 1
 
0.2%
212-757-4343 1
 
0.2%
212-678-2960 1
 
0.2%
212-254-1803 1
 
0.2%
212-722-6507 1
 
0.2%
718-822-5351 1
 
0.2%
718-647-0913 1
 
0.2%
718-293-9048 1
 
0.2%
212-567-2322 1
 
0.2%
Other values (472) 472
97.9%
2023-12-09T22:31:50.762037image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 964
16.7%
1 737
12.7%
8 727
12.6%
7 678
11.7%
2 551
9.5%
0 452
7.8%
4 373
 
6.4%
6 364
 
6.3%
3 337
 
5.8%
5 336
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4820
83.3%
Dash Punctuation 964
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 737
15.3%
8 727
15.1%
7 678
14.1%
2 551
11.4%
0 452
9.4%
4 373
7.7%
6 364
7.6%
3 337
7.0%
5 336
7.0%
9 265
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5784
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 964
16.7%
1 737
12.7%
8 727
12.6%
7 678
11.7%
2 551
9.5%
0 452
7.8%
4 373
 
6.4%
6 364
 
6.3%
3 337
 
5.8%
5 336
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5784
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 964
16.7%
1 737
12.7%
8 727
12.6%
7 678
11.7%
2 551
9.5%
0 452
7.8%
4 373
 
6.4%
6 364
 
6.3%
3 337
 
5.8%
5 336
 
5.8%
Distinct480
Distinct (%)99.8%
Missing3
Missing (%)0.6%
Memory size37.7 KiB
2023-12-09T22:31:51.121838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length76
Median length56
Mean length22.7027027
Min length7

Characters and Unicode

Total characters10920
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique479 ?
Unique (%)99.6%

Sample

1st rowschools.nyc.gov/schoolportals/06/m018
2nd rowinwood52.com
3rd rowis143.org
4th row187hudsoncliffs.org
5th rowthehamiltongrangeschool.org
ValueCountFrequency (%)
schools.nyc.gov/schoolportals/09/x313 2
 
0.4%
ms101_bronx 2
 
0.4%
ms223.org 1
 
0.2%
schools.nyc.gov/schoolportals/29/q059 1
 
0.2%
schools.nyc.gov/schoolportals/11/x181 1
 
0.2%
schools.nyc.gov/schoolportals/32/k384 1
 
0.2%
schools.nyc.gov/schoolportals/17/k394 1
 
0.2%
schools.nyc.gov/schoolportals/27/q309 1
 
0.2%
is143.org 1
 
0.2%
www.mhcsbronx.org 1
 
0.2%
Other values (478) 478
97.6%
2023-12-09T22:31:51.643553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 1512
 
13.8%
s 1009
 
9.2%
c 733
 
6.7%
. 699
 
6.4%
l 671
 
6.1%
r 526
 
4.8%
/ 521
 
4.8%
h 440
 
4.0%
g 423
 
3.9%
a 370
 
3.4%
Other values (47) 4016
36.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8282
75.8%
Decimal Number 1333
 
12.2%
Other Punctuation 1225
 
11.2%
Uppercase Letter 56
 
0.5%
Dash Punctuation 13
 
0.1%
Space Separator 9
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1512
18.3%
s 1009
12.2%
c 733
 
8.9%
l 671
 
8.1%
r 526
 
6.4%
h 440
 
5.3%
g 423
 
5.1%
a 370
 
4.5%
n 325
 
3.9%
t 311
 
3.8%
Other values (15) 1962
23.7%
Uppercase Letter
ValueCountFrequency (%)
S 17
30.4%
P 10
17.9%
M 6
 
10.7%
I 3
 
5.4%
K 3
 
5.4%
B 3
 
5.4%
Q 3
 
5.4%
C 2
 
3.6%
T 2
 
3.6%
X 2
 
3.6%
Other values (5) 5
 
8.9%
Decimal Number
ValueCountFrequency (%)
2 246
18.5%
1 237
17.8%
0 160
12.0%
3 157
11.8%
8 108
8.1%
7 98
 
7.4%
4 91
 
6.8%
9 90
 
6.8%
6 73
 
5.5%
5 73
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 699
57.1%
/ 521
42.5%
: 4
 
0.3%
@ 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8338
76.4%
Common 2582
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1512
18.1%
s 1009
12.1%
c 733
 
8.8%
l 671
 
8.0%
r 526
 
6.3%
h 440
 
5.3%
g 423
 
5.1%
a 370
 
4.4%
n 325
 
3.9%
t 311
 
3.7%
Other values (30) 2018
24.2%
Common
ValueCountFrequency (%)
. 699
27.1%
/ 521
20.2%
2 246
 
9.5%
1 237
 
9.2%
0 160
 
6.2%
3 157
 
6.1%
8 108
 
4.2%
7 98
 
3.8%
4 91
 
3.5%
9 90
 
3.5%
Other values (7) 175
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 1512
 
13.8%
s 1009
 
9.2%
c 733
 
6.7%
. 699
 
6.4%
l 671
 
6.1%
r 526
 
4.8%
/ 521
 
4.8%
h 440
 
4.0%
g 423
 
3.9%
a 370
 
3.4%
Other values (47) 4016
36.8%

subway
Text

MISSING 

Distinct267
Distinct (%)73.4%
Missing120
Missing (%)24.8%
Memory size37.9 KiB
2023-12-09T22:31:52.092499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length187
Median length85
Mean length38.52197802
Min length12

Characters and Unicode

Total characters14022
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)54.1%

Sample

1st rowA to Inwood - 207th St; 1 to Marble Hill - 225th St
2nd rowA to Dyckman St-200th St; 1 to Dyckman St
3rd row1, A to 181st St
4th rowA to 190th St; 1 to 191st St
5th rowB, C to 135th St; A, D to 145th St; 1 to 137th St - City College
ValueCountFrequency (%)
to 640
 
18.6%
st 293
 
8.5%
ave 215
 
6.3%
2 94
 
2.7%
b 94
 
2.7%
90
 
2.6%
5 85
 
2.5%
d 79
 
2.3%
c 76
 
2.2%
a 73
 
2.1%
Other values (353) 1699
49.4%
2023-12-09T22:31:52.730548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3074
21.9%
t 1545
 
11.0%
o 972
 
6.9%
e 636
 
4.5%
, 507
 
3.6%
a 455
 
3.2%
S 424
 
3.0%
r 419
 
3.0%
h 345
 
2.5%
n 326
 
2.3%
Other values (57) 5319
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6646
47.4%
Space Separator 3074
21.9%
Uppercase Letter 2065
 
14.7%
Decimal Number 1253
 
8.9%
Other Punctuation 788
 
5.6%
Dash Punctuation 196
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1545
23.2%
o 972
14.6%
e 636
9.6%
a 455
 
6.8%
r 419
 
6.3%
h 345
 
5.2%
n 326
 
4.9%
s 275
 
4.1%
v 263
 
4.0%
l 209
 
3.1%
Other values (15) 1201
18.1%
Uppercase Letter
ValueCountFrequency (%)
S 424
20.5%
A 326
15.8%
B 180
 
8.7%
C 167
 
8.1%
D 103
 
5.0%
F 91
 
4.4%
R 84
 
4.1%
M 77
 
3.7%
N 70
 
3.4%
P 69
 
3.3%
Other values (15) 474
23.0%
Decimal Number
ValueCountFrequency (%)
1 308
24.6%
2 168
13.4%
5 152
12.1%
3 139
11.1%
6 131
10.5%
4 129
10.3%
7 76
 
6.1%
8 54
 
4.3%
0 49
 
3.9%
9 47
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 507
64.3%
; 276
35.0%
& 3
 
0.4%
/ 2
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 195
99.5%
1
 
0.5%
Space Separator
ValueCountFrequency (%)
3074
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8711
62.1%
Common 5311
37.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1545
17.7%
o 972
 
11.2%
e 636
 
7.3%
a 455
 
5.2%
S 424
 
4.9%
r 419
 
4.8%
h 345
 
4.0%
n 326
 
3.7%
A 326
 
3.7%
s 275
 
3.2%
Other values (40) 2988
34.3%
Common
ValueCountFrequency (%)
3074
57.9%
, 507
 
9.5%
1 308
 
5.8%
; 276
 
5.2%
- 195
 
3.7%
2 168
 
3.2%
5 152
 
2.9%
3 139
 
2.6%
6 131
 
2.5%
4 129
 
2.4%
Other values (7) 232
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14021
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3074
21.9%
t 1545
 
11.0%
o 972
 
6.9%
e 636
 
4.5%
, 507
 
3.6%
a 455
 
3.2%
S 424
 
3.0%
r 419
 
3.0%
h 345
 
2.5%
n 326
 
2.3%
Other values (56) 5318
37.9%
Punctuation
ValueCountFrequency (%)
1
100.0%

bus
Text

Distinct385
Distinct (%)79.7%
Missing1
Missing (%)0.2%
Memory size50.7 KiB
2023-12-09T22:31:53.273783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length94
Mean length50.25672878
Min length2

Characters and Unicode

Total characters24274
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique303 ?
Unique (%)62.7%

Sample

1st rowBx12, Bx12-SBS, Bx20, Bx3, Bx32, Bx7, Bx9, BxM1, BxM18, BxM2, BxM3, M100
2nd rowBx12, Bx12-SBS, Bx20, Bx7, BxM1, M100, M3, M4
3rd rowBx11, Bx13, Bx18, Bx3, Bx35, Bx36, Bx7, M100, M101, M3, M4, M5, M98
4th rowBx11, Bx13, Bx3, Bx35, Bx36, Bx7, M100, M101, M3, M4, M98
5th rowBx15, Bx19, Bx33, M10, M100, M101, M104, M11, M3, M4, M5
ValueCountFrequency (%)
bx15 63
 
1.4%
m101 61
 
1.3%
m3 57
 
1.2%
bxm4 53
 
1.1%
bx41 50
 
1.1%
m5 50
 
1.1%
bx2 49
 
1.1%
bx41-sbs 48
 
1.0%
bx1 47
 
1.0%
m4 46
 
1.0%
Other values (317) 4123
88.7%
2023-12-09T22:31:55.662859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4164
17.2%
, 4163
17.2%
B 2540
10.5%
1 2005
8.3%
M 1481
 
6.1%
x 1321
 
5.4%
4 1102
 
4.5%
2 1043
 
4.3%
Q 898
 
3.7%
3 888
 
3.7%
Other values (12) 4669
19.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8411
34.7%
Uppercase Letter 5996
24.7%
Space Separator 4164
17.2%
Other Punctuation 4163
17.2%
Lowercase Letter 1321
 
5.4%
Dash Punctuation 219
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2005
23.8%
4 1102
13.1%
2 1043
12.4%
3 888
10.6%
5 694
 
8.3%
0 686
 
8.2%
6 679
 
8.1%
7 492
 
5.8%
8 479
 
5.7%
9 343
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 2540
42.4%
M 1481
24.7%
Q 898
 
15.0%
S 549
 
9.2%
X 421
 
7.0%
A 81
 
1.4%
D 20
 
0.3%
J 6
 
0.1%
Space Separator
ValueCountFrequency (%)
4164
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4163
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16957
69.9%
Latin 7317
30.1%

Most frequent character per script

Common
ValueCountFrequency (%)
4164
24.6%
, 4163
24.6%
1 2005
11.8%
4 1102
 
6.5%
2 1043
 
6.2%
3 888
 
5.2%
5 694
 
4.1%
0 686
 
4.0%
6 679
 
4.0%
7 492
 
2.9%
Other values (3) 1041
 
6.1%
Latin
ValueCountFrequency (%)
B 2540
34.7%
M 1481
20.2%
x 1321
18.1%
Q 898
 
12.3%
S 549
 
7.5%
X 421
 
5.8%
A 81
 
1.1%
D 20
 
0.3%
J 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24274
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4164
17.2%
, 4163
17.2%
B 2540
10.5%
1 2005
8.3%
M 1481
 
6.1%
x 1321
 
5.4%
4 1102
 
4.5%
2 1043
 
4.3%
Q 898
 
3.7%
3 888
 
3.7%
Other values (12) 4669
19.2%

code_prog1
Text

MISSING 

Distinct474
Distinct (%)99.8%
Missing9
Missing (%)1.9%
Memory size29.2 KiB
2023-12-09T22:31:56.085505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.042105263
Min length5

Characters and Unicode

Total characters2395
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)99.6%

Sample

1st rowM018U
2nd rowM052U
3rd rowM143U
4th rowM187U
5th rowM209L
ValueCountFrequency (%)
talent 2
 
0.4%
programs 2
 
0.4%
m413s 1
 
0.2%
x413s 1
 
0.2%
m180s 1
 
0.2%
q111u 1
 
0.2%
k207u 1
 
0.2%
m825s 1
 
0.2%
x328l 1
 
0.2%
m286l 1
 
0.2%
Other values (465) 465
97.5%
2023-12-09T22:31:56.622738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 229
 
9.6%
1 198
 
8.3%
M 174
 
7.3%
0 172
 
7.2%
3 169
 
7.1%
U 160
 
6.7%
K 140
 
5.8%
4 127
 
5.3%
8 123
 
5.1%
X 120
 
5.0%
Other values (24) 783
32.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1419
59.2%
Uppercase Letter 950
39.7%
Lowercase Letter 24
 
1.0%
Space Separator 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
M 174
18.3%
U 160
16.8%
K 140
14.7%
X 120
12.6%
Q 100
10.5%
L 87
9.2%
S 58
 
6.1%
Z 48
 
5.1%
A 42
 
4.4%
R 16
 
1.7%
Other values (3) 5
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 229
16.1%
1 198
14.0%
0 172
12.1%
3 169
11.9%
4 127
8.9%
8 123
8.7%
6 113
8.0%
5 107
7.5%
7 96
6.8%
9 85
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
a 4
16.7%
r 4
16.7%
s 2
8.3%
m 2
8.3%
g 2
8.3%
o 2
8.3%
t 2
8.3%
n 2
8.3%
e 2
8.3%
l 2
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1421
59.3%
Latin 974
40.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
M 174
17.9%
U 160
16.4%
K 140
14.4%
X 120
12.3%
Q 100
10.3%
L 87
8.9%
S 58
 
6.0%
Z 48
 
4.9%
A 42
 
4.3%
R 16
 
1.6%
Other values (13) 29
 
3.0%
Common
ValueCountFrequency (%)
2 229
16.1%
1 198
13.9%
0 172
12.1%
3 169
11.9%
4 127
8.9%
8 123
8.7%
6 113
8.0%
5 107
7.5%
7 96
6.8%
9 85
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 229
 
9.6%
1 198
 
8.3%
M 174
 
7.3%
0 172
 
7.2%
3 169
 
7.1%
U 160
 
6.7%
K 140
 
5.8%
4 127
 
5.3%
8 123
 
5.1%
X 120
 
5.0%
Other values (24) 783
32.7%
Distinct464
Distinct (%)96.7%
Missing4
Missing (%)0.8%
Memory size42.8 KiB
2023-12-09T22:31:57.000260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length78
Median length57.5
Mean length33.53125
Min length4

Characters and Unicode

Total characters16095
Distinct characters76
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique457 ?
Unique (%)95.2%

Sample

1st rowPark Terrace (P.S. 18)
2nd rowI.S. 52 (Inwood Intermediate School General Admission)
3rd rowEleanor Roosevelt Intermediate School (I.S. 143)
4th rowHudson Cliffs School (P.S./I.S. 187)
5th rowHamilton Grange Middle School
ValueCountFrequency (%)
school 195
 
8.0%
the 102
 
4.2%
academy 87
 
3.6%
program 74
 
3.0%
for 60
 
2.5%
middle 55
 
2.3%
of 47
 
1.9%
i.s 47
 
1.9%
m.s 44
 
1.8%
and 40
 
1.6%
Other values (828) 1684
69.2%
2023-12-09T22:31:57.555949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1955
 
12.1%
e 1174
 
7.3%
o 1108
 
6.9%
a 881
 
5.5%
r 771
 
4.8%
n 732
 
4.5%
l 676
 
4.2%
S 622
 
3.9%
. 593
 
3.7%
i 573
 
3.6%
Other values (66) 7010
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9926
61.7%
Uppercase Letter 2510
 
15.6%
Space Separator 1955
 
12.1%
Other Punctuation 745
 
4.6%
Decimal Number 596
 
3.7%
Open Punctuation 176
 
1.1%
Close Punctuation 176
 
1.1%
Dash Punctuation 9
 
0.1%
Final Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1174
11.8%
o 1108
11.2%
a 881
 
8.9%
r 771
 
7.8%
n 732
 
7.4%
l 676
 
6.8%
i 573
 
5.8%
c 525
 
5.3%
t 514
 
5.2%
h 491
 
4.9%
Other values (17) 2481
25.0%
Uppercase Letter
ValueCountFrequency (%)
S 622
24.8%
P 251
10.0%
M 236
 
9.4%
A 209
 
8.3%
I 153
 
6.1%
T 140
 
5.6%
C 122
 
4.9%
L 93
 
3.7%
H 84
 
3.3%
E 83
 
3.3%
Other values (16) 517
20.6%
Decimal Number
ValueCountFrequency (%)
1 110
18.5%
2 105
17.6%
8 61
10.2%
3 60
10.1%
7 50
8.4%
4 45
7.6%
5 45
7.6%
9 44
 
7.4%
6 39
 
6.5%
0 37
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 593
79.6%
/ 72
 
9.7%
& 22
 
3.0%
, 22
 
3.0%
: 21
 
2.8%
' 14
 
1.9%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1955
100.0%
Open Punctuation
ValueCountFrequency (%)
( 176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 12436
77.3%
Common 3659
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1174
 
9.4%
o 1108
 
8.9%
a 881
 
7.1%
r 771
 
6.2%
n 732
 
5.9%
l 676
 
5.4%
S 622
 
5.0%
i 573
 
4.6%
c 525
 
4.2%
t 514
 
4.1%
Other values (43) 4860
39.1%
Common
ValueCountFrequency (%)
1955
53.4%
. 593
 
16.2%
( 176
 
4.8%
) 176
 
4.8%
1 110
 
3.0%
2 105
 
2.9%
/ 72
 
2.0%
8 61
 
1.7%
3 60
 
1.6%
7 50
 
1.4%
Other values (13) 301
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16093
> 99.9%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1955
 
12.1%
e 1174
 
7.3%
o 1108
 
6.9%
a 881
 
5.5%
r 771
 
4.8%
n 732
 
4.5%
l 676
 
4.2%
S 622
 
3.9%
. 593
 
3.7%
i 573
 
3.6%
Other values (64) 7008
43.5%
None
ValueCountFrequency (%)
ñ 1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct9
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size32.5 KiB
2023-12-09T22:31:57.757305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length15
Mean length11.41528926
Min length5

Characters and Unicode

Total characters5525
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnscreened
2nd rowUnscreened
3rd rowUnscreened
4th rowUnscreened
5th rowLimited Unscreened
ValueCountFrequency (%)
unscreened 249
38.8%
screened 134
20.9%
limited 87
 
13.6%
zoned 47
 
7.3%
composite 42
 
6.6%
score 42
 
6.6%
language 26
 
4.1%
school-based 10
 
1.6%
talent 2
 
0.3%
test 2
 
0.3%
2023-12-09T22:31:58.088750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1407
25.5%
n 707
12.8%
d 527
 
9.5%
c 435
 
7.9%
r 425
 
7.7%
s 303
 
5.5%
U 249
 
4.5%
i 216
 
3.9%
o 193
 
3.5%
S 186
 
3.4%
Other values (17) 877
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4684
84.8%
Uppercase Letter 648
 
11.7%
Space Separator 157
 
2.8%
Other Punctuation 26
 
0.5%
Dash Punctuation 10
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1407
30.0%
n 707
15.1%
d 527
 
11.3%
c 435
 
9.3%
r 425
 
9.1%
s 303
 
6.5%
i 216
 
4.6%
o 193
 
4.1%
t 133
 
2.8%
m 129
 
2.8%
Other values (7) 209
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
U 249
38.4%
S 186
28.7%
L 113
17.4%
Z 47
 
7.3%
C 42
 
6.5%
B 7
 
1.1%
T 4
 
0.6%
Space Separator
ValueCountFrequency (%)
157
100.0%
Other Punctuation
ValueCountFrequency (%)
: 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5332
96.5%
Common 193
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1407
26.4%
n 707
13.3%
d 527
 
9.9%
c 435
 
8.2%
r 425
 
8.0%
s 303
 
5.7%
U 249
 
4.7%
i 216
 
4.1%
o 193
 
3.6%
S 186
 
3.5%
Other values (14) 684
12.8%
Common
ValueCountFrequency (%)
157
81.3%
: 26
 
13.5%
- 10
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1407
25.5%
n 707
12.8%
d 527
 
9.5%
c 435
 
7.9%
r 425
 
7.7%
s 303
 
5.5%
U 249
 
4.5%
i 216
 
3.9%
o 193
 
3.5%
S 186
 
3.4%
Other values (17) 877
15.9%

geapps_prog1
Text

MISSING 

Distinct301
Distinct (%)73.6%
Missing75
Missing (%)15.5%
Memory size26.4 KiB
2023-12-09T22:31:58.632479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.960880196
Min length2

Characters and Unicode

Total characters1211
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)53.1%

Sample

1st row112
2nd row201
3rd row163
4th row363
5th row193
ValueCountFrequency (%)
224 4
 
1.0%
134 4
 
1.0%
115 4
 
1.0%
425 3
 
0.7%
141 3
 
0.7%
433 3
 
0.7%
230 3
 
0.7%
113 3
 
0.7%
157 3
 
0.7%
239 3
 
0.7%
Other values (291) 376
91.9%
2023-12-09T22:31:59.333983image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 191
15.8%
3 175
14.5%
2 153
12.6%
4 132
10.9%
5 117
9.7%
8 107
8.8%
7 92
7.6%
9 91
7.5%
6 83
6.9%
0 70
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1211
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 191
15.8%
3 175
14.5%
2 153
12.6%
4 132
10.9%
5 117
9.7%
8 107
8.8%
7 92
7.6%
9 91
7.5%
6 83
6.9%
0 70
 
5.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1211
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 191
15.8%
3 175
14.5%
2 153
12.6%
4 132
10.9%
5 117
9.7%
8 107
8.8%
7 92
7.6%
9 91
7.5%
6 83
6.9%
0 70
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1211
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 191
15.8%
3 175
14.5%
2 153
12.6%
4 132
10.9%
5 117
9.7%
8 107
8.8%
7 92
7.6%
9 91
7.5%
6 83
6.9%
0 70
 
5.8%

swdapps_prog1
Text

MISSING 

Distinct140
Distinct (%)34.2%
Missing75
Missing (%)15.5%
Memory size26.1 KiB
2023-12-09T22:31:59.767167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.19804401
Min length1

Characters and Unicode

Total characters899
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)12.5%

Sample

1st row30
2nd row44
3rd row49
4th row66
5th row50
ValueCountFrequency (%)
33 9
 
2.2%
62 9
 
2.2%
30 9
 
2.2%
54 8
 
2.0%
81 7
 
1.7%
28 7
 
1.7%
42 7
 
1.7%
56 7
 
1.7%
44 7
 
1.7%
100 6
 
1.5%
Other values (130) 333
81.4%
2023-12-09T22:32:00.339874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 142
15.8%
4 117
13.0%
6 104
11.6%
3 101
11.2%
2 93
10.3%
5 88
9.8%
8 71
7.9%
0 69
7.7%
7 63
7.0%
9 51
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 899
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 142
15.8%
4 117
13.0%
6 104
11.6%
3 101
11.2%
2 93
10.3%
5 88
9.8%
8 71
7.9%
0 69
7.7%
7 63
7.0%
9 51
 
5.7%

Most occurring scripts

ValueCountFrequency (%)
Common 899
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 142
15.8%
4 117
13.0%
6 104
11.6%
3 101
11.2%
2 93
10.3%
5 88
9.8%
8 71
7.9%
0 69
7.7%
7 63
7.0%
9 51
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 899
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 142
15.8%
4 117
13.0%
6 104
11.6%
3 101
11.2%
2 93
10.3%
5 88
9.8%
8 71
7.9%
0 69
7.7%
7 63
7.0%
9 51
 
5.7%

geappsperseat_prog1
Text

MISSING 

Distinct30
Distinct (%)7.4%
Missing77
Missing (%)15.9%
Memory size25.6 KiB
2023-12-09T22:32:00.536163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.132678133
Min length1

Characters and Unicode

Total characters461
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)2.7%

Sample

1st row2
2nd row2
3rd row2
4th row5
5th row3
ValueCountFrequency (%)
3 79
19.4%
2 75
18.4%
4 49
12.0%
5 41
10.1%
6 32
7.9%
1 25
 
6.1%
8 19
 
4.7%
9 17
 
4.2%
7 16
 
3.9%
13 7
 
1.7%
Other values (20) 47
11.5%
2023-12-09T22:32:00.868110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 93
20.2%
2 93
20.2%
1 70
15.2%
4 52
11.3%
5 48
10.4%
6 37
 
8.0%
8 21
 
4.6%
9 20
 
4.3%
7 17
 
3.7%
0 10
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 461
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 93
20.2%
2 93
20.2%
1 70
15.2%
4 52
11.3%
5 48
10.4%
6 37
 
8.0%
8 21
 
4.6%
9 20
 
4.3%
7 17
 
3.7%
0 10
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 461
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 93
20.2%
2 93
20.2%
1 70
15.2%
4 52
11.3%
5 48
10.4%
6 37
 
8.0%
8 21
 
4.6%
9 20
 
4.3%
7 17
 
3.7%
0 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 461
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 93
20.2%
2 93
20.2%
1 70
15.2%
4 52
11.3%
5 48
10.4%
6 37
 
8.0%
8 21
 
4.6%
9 20
 
4.3%
7 17
 
3.7%
0 10
 
2.2%

swdappsperseat_prog1
Text

MISSING 

Distinct26
Distinct (%)6.5%
Missing82
Missing (%)16.9%
Memory size25.5 KiB
2023-12-09T22:32:01.062722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.089552239
Min length1

Characters and Unicode

Total characters438
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)2.7%

Sample

1st row3
2nd row2
3rd row2
4th row4
5th row3
ValueCountFrequency (%)
3 88
21.9%
2 72
17.9%
4 67
16.7%
5 54
13.4%
6 29
 
7.2%
1 19
 
4.7%
8 16
 
4.0%
7 14
 
3.5%
11 8
 
2.0%
10 7
 
1.7%
Other values (16) 28
 
7.0%
2023-12-09T22:32:01.373512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 95
21.7%
2 80
18.3%
4 70
16.0%
5 56
12.8%
1 56
12.8%
6 30
 
6.8%
8 18
 
4.1%
7 15
 
3.4%
0 11
 
2.5%
9 7
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 438
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 95
21.7%
2 80
18.3%
4 70
16.0%
5 56
12.8%
1 56
12.8%
6 30
 
6.8%
8 18
 
4.1%
7 15
 
3.4%
0 11
 
2.5%
9 7
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 95
21.7%
2 80
18.3%
4 70
16.0%
5 56
12.8%
1 56
12.8%
6 30
 
6.8%
8 18
 
4.1%
7 15
 
3.4%
0 11
 
2.5%
9 7
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 95
21.7%
2 80
18.3%
4 70
16.0%
5 56
12.8%
1 56
12.8%
6 30
 
6.8%
8 18
 
4.1%
7 15
 
3.4%
0 11
 
2.5%
9 7
 
1.6%

swdseats_prog1
Text

MISSING 

Distinct55
Distinct (%)13.2%
Missing66
Missing (%)13.6%
Memory size26.2 KiB
2023-12-09T22:32:01.628909image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.827751196
Min length1

Characters and Unicode

Total characters764
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)4.3%

Sample

1st row10
2nd row20
3rd row20
4th row15
5th row16
ValueCountFrequency (%)
12 32
 
7.7%
17 29
 
6.9%
14 25
 
6.0%
11 24
 
5.7%
16 19
 
4.5%
18 17
 
4.1%
10 17
 
4.1%
15 16
 
3.8%
20 15
 
3.6%
8 15
 
3.6%
Other values (45) 209
50.0%
2023-12-09T22:32:02.034122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 249
32.6%
2 147
19.2%
4 62
 
8.1%
6 51
 
6.7%
3 50
 
6.5%
7 47
 
6.2%
0 47
 
6.2%
8 43
 
5.6%
5 39
 
5.1%
9 29
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 764
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 249
32.6%
2 147
19.2%
4 62
 
8.1%
6 51
 
6.7%
3 50
 
6.5%
7 47
 
6.2%
0 47
 
6.2%
8 43
 
5.6%
5 39
 
5.1%
9 29
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Common 764
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 249
32.6%
2 147
19.2%
4 62
 
8.1%
6 51
 
6.7%
3 50
 
6.5%
7 47
 
6.2%
0 47
 
6.2%
8 43
 
5.6%
5 39
 
5.1%
9 29
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 764
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 249
32.6%
2 147
19.2%
4 62
 
8.1%
6 51
 
6.7%
3 50
 
6.5%
7 47
 
6.2%
0 47
 
6.2%
8 43
 
5.6%
5 39
 
5.1%
9 29
 
3.8%

geseats_prog1
Text

MISSING 

Distinct120
Distinct (%)33.7%
Missing128
Missing (%)26.4%
Memory size24.7 KiB
2023-12-09T22:32:02.420131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.18258427
Min length1

Characters and Unicode

Total characters777
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)12.1%

Sample

1st row45
2nd row100
3rd row100
4th row76
5th row77
ValueCountFrequency (%)
75 11
 
3.1%
49 11
 
3.1%
24 10
 
2.8%
48 9
 
2.5%
73 9
 
2.5%
78 8
 
2.2%
66 8
 
2.2%
83 8
 
2.2%
56 7
 
2.0%
25 7
 
2.0%
Other values (110) 268
75.3%
2023-12-09T22:32:02.944732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 100
12.9%
7 99
12.7%
2 90
11.6%
6 85
10.9%
5 84
10.8%
4 74
9.5%
8 66
8.5%
3 62
8.0%
9 59
7.6%
0 58
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 777
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 100
12.9%
7 99
12.7%
2 90
11.6%
6 85
10.9%
5 84
10.8%
4 74
9.5%
8 66
8.5%
3 62
8.0%
9 59
7.6%
0 58
7.5%

Most occurring scripts

ValueCountFrequency (%)
Common 777
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 100
12.9%
7 99
12.7%
2 90
11.6%
6 85
10.9%
5 84
10.8%
4 74
9.5%
8 66
8.5%
3 62
8.0%
9 59
7.6%
0 58
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 100
12.9%
7 99
12.7%
2 90
11.6%
6 85
10.9%
5 84
10.8%
4 74
9.5%
8 66
8.5%
3 62
8.0%
9 59
7.6%
0 58
7.5%

gefilled_prog1
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing76
Missing (%)15.7%
Memory size25.6 KiB
2023-12-09T22:32:03.066865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters408
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowN
4th rowY
5th rowY
ValueCountFrequency (%)
y 246
60.3%
n 162
39.7%
2023-12-09T22:32:03.285358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 246
60.3%
N 162
39.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 408
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 246
60.3%
N 162
39.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 408
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 246
60.3%
N 162
39.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 246
60.3%
N 162
39.7%

swdfilled_prog1
Text

MISSING 

Distinct2
Distinct (%)0.5%
Missing77
Missing (%)15.9%
Memory size25.6 KiB
2023-12-09T22:32:03.403063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters407
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY
ValueCountFrequency (%)
y 302
74.2%
n 105
 
25.8%
2023-12-09T22:32:03.623025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 302
74.2%
N 105
 
25.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 407
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 302
74.2%
N 105
 
25.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 407
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 302
74.2%
N 105
 
25.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 302
74.2%
N 105
 
25.8%

eligibility_prog1
Text

MISSING 

Distinct78
Distinct (%)16.4%
Missing7
Missing (%)1.4%
Memory size49.1 KiB
2023-12-09T22:32:03.884324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length195
Median length102
Mean length47.72746331
Min length2

Characters and Unicode

Total characters22766
Distinct characters61
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)5.7%

Sample

1st rowOpen to students and residents of District 6
2nd rowOpen to students and residents of District 6
3rd rowOpen to students and residents of District 6
4th rowOpen to students and residents of District 6
5th rowOpen to students and residents of District 6
ValueCountFrequency (%)
students 500
12.4%
and 479
11.8%
to 479
11.8%
open 476
11.8%
residents 417
10.3%
of 408
10.1%
district 295
 
7.3%
the 83
 
2.1%
zone 55
 
1.4%
residing 55
 
1.4%
Other values (90) 799
19.7%
2023-12-09T22:32:04.326734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3569
15.7%
t 2774
12.2%
s 2314
10.2%
n 2269
10.0%
e 2155
9.5%
d 1497
 
6.6%
i 1341
 
5.9%
o 1152
 
5.1%
r 935
 
4.1%
a 582
 
2.6%
Other values (51) 4178
18.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17496
76.9%
Space Separator 3569
 
15.7%
Uppercase Letter 948
 
4.2%
Decimal Number 674
 
3.0%
Other Punctuation 65
 
0.3%
Dash Punctuation 12
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2774
15.9%
s 2314
13.2%
n 2269
13.0%
e 2155
12.3%
d 1497
8.6%
i 1341
7.7%
o 1152
6.6%
r 935
 
5.3%
a 582
 
3.3%
u 558
 
3.2%
Other values (14) 1919
11.0%
Uppercase Letter
ValueCountFrequency (%)
O 465
49.1%
D 329
34.7%
B 51
 
5.4%
Q 17
 
1.8%
A 13
 
1.4%
N 12
 
1.3%
Y 12
 
1.3%
C 12
 
1.3%
M 12
 
1.3%
S 10
 
1.1%
Other values (9) 15
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 174
25.8%
2 139
20.6%
5 73
10.8%
3 60
 
8.9%
9 55
 
8.2%
0 50
 
7.4%
6 35
 
5.2%
8 33
 
4.9%
7 28
 
4.2%
4 27
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 39
60.0%
; 12
 
18.5%
, 10
 
15.4%
& 4
 
6.2%
Space Separator
ValueCountFrequency (%)
3569
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18444
81.0%
Common 4322
 
19.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2774
15.0%
s 2314
12.5%
n 2269
12.3%
e 2155
11.7%
d 1497
8.1%
i 1341
7.3%
o 1152
6.2%
r 935
 
5.1%
a 582
 
3.2%
u 558
 
3.0%
Other values (33) 2867
15.5%
Common
ValueCountFrequency (%)
3569
82.6%
1 174
 
4.0%
2 139
 
3.2%
5 73
 
1.7%
3 60
 
1.4%
9 55
 
1.3%
0 50
 
1.2%
. 39
 
0.9%
6 35
 
0.8%
8 33
 
0.8%
Other values (8) 95
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22766
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3569
15.7%
t 2774
12.2%
s 2314
10.2%
n 2269
10.0%
e 2155
9.5%
d 1497
 
6.6%
i 1341
 
5.9%
o 1152
 
5.1%
r 935
 
4.1%
a 582
 
2.6%
Other values (51) 4178
18.4%

priority1_prog1
Text

MISSING 

Distinct80
Distinct (%)26.4%
Missing181
Missing (%)37.4%
Memory size38.3 KiB
2023-12-09T22:32:04.608418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length272
Median length41
Mean length52.99339934
Min length39

Characters and Unicode

Total characters16057
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)18.8%

Sample

1st rowPriority to continuing 5th grade students
2nd rowPriority to 5th grade students in P.S. 115, P.S. 132, P.S. 189, and to students residing in the zone
3rd rowPriority to continuing 5th grade students
4th rowPriority to students zoned to or attending P.S. 192 or P.S. 325 who sign in at an event
5th rowPriority to continuing 5th grade students
ValueCountFrequency (%)
to 313
 
11.4%
students 310
 
11.3%
priority 295
 
10.7%
in 166
 
6.0%
5th 133
 
4.8%
grade 133
 
4.8%
continuing 122
 
4.4%
and 104
 
3.8%
the 96
 
3.5%
of 87
 
3.2%
Other values (129) 993
36.1%
2023-12-09T22:32:05.051985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2449
15.3%
t 2022
12.6%
i 1530
9.5%
n 1475
9.2%
e 1105
 
6.9%
s 1057
 
6.6%
o 1031
 
6.4%
r 1018
 
6.3%
d 751
 
4.7%
u 445
 
2.8%
Other values (50) 3174
19.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12568
78.3%
Space Separator 2449
 
15.3%
Uppercase Letter 509
 
3.2%
Decimal Number 405
 
2.5%
Other Punctuation 120
 
0.7%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2022
16.1%
i 1530
12.2%
n 1475
11.7%
e 1105
8.8%
s 1057
8.4%
o 1031
8.2%
r 1018
8.1%
d 751
 
6.0%
u 445
 
3.5%
a 434
 
3.5%
Other values (14) 1700
13.5%
Uppercase Letter
ValueCountFrequency (%)
P 331
65.0%
D 80
 
15.7%
S 41
 
8.1%
T 10
 
2.0%
G 7
 
1.4%
O 6
 
1.2%
L 5
 
1.0%
R 4
 
0.8%
X 4
 
0.8%
F 4
 
0.8%
Other values (8) 17
 
3.3%
Decimal Number
ValueCountFrequency (%)
5 155
38.3%
1 81
20.0%
2 37
 
9.1%
3 31
 
7.7%
9 25
 
6.2%
0 22
 
5.4%
8 21
 
5.2%
4 12
 
3.0%
7 12
 
3.0%
6 9
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 79
65.8%
, 33
27.5%
& 6
 
5.0%
: 1
 
0.8%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
2449
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13077
81.4%
Common 2980
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2022
15.5%
i 1530
11.7%
n 1475
11.3%
e 1105
8.4%
s 1057
8.1%
o 1031
7.9%
r 1018
7.8%
d 751
 
5.7%
u 445
 
3.4%
a 434
 
3.3%
Other values (32) 2209
16.9%
Common
ValueCountFrequency (%)
2449
82.2%
5 155
 
5.2%
1 81
 
2.7%
. 79
 
2.7%
2 37
 
1.2%
, 33
 
1.1%
3 31
 
1.0%
9 25
 
0.8%
0 22
 
0.7%
8 21
 
0.7%
Other values (8) 47
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2449
15.3%
t 2022
12.6%
i 1530
9.5%
n 1475
9.2%
e 1105
 
6.9%
s 1057
 
6.6%
o 1031
 
6.4%
r 1018
 
6.3%
d 751
 
4.7%
u 445
 
2.8%
Other values (50) 3174
19.8%

priority2_prog1
Text

MISSING 

Distinct95
Distinct (%)31.8%
Missing185
Missing (%)38.2%
Memory size48.7 KiB
2023-12-09T22:32:05.339221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length136
Median length122
Mean length89.65886288
Min length22

Characters and Unicode

Total characters26808
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)15.1%

Sample

1st rowThen to students residing in the elementary school zone
2nd rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
3rd rowThen to students residing in the zone
4th rowThen to students zoned to or attending P.S. 192 or P.S. 325
5th rowThen to students and residents of District 6.
ValueCountFrequency (%)
students 473
 
10.7%
to 307
 
7.0%
then 299
 
6.8%
and 201
 
4.6%
residents 200
 
4.5%
of 195
 
4.4%
from 185
 
4.2%
last 184
 
4.2%
year 184
 
4.2%
this 184
 
4.2%
Other values (77) 1993
45.2%
2023-12-09T22:32:05.787292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4107
15.3%
t 2931
10.9%
s 2218
 
8.3%
e 2058
 
7.7%
r 1828
 
6.8%
n 1668
 
6.2%
i 1592
 
5.9%
o 1532
 
5.7%
d 1349
 
5.0%
a 1213
 
4.5%
Other values (39) 6312
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21044
78.5%
Space Separator 4107
 
15.3%
Uppercase Letter 728
 
2.7%
Other Punctuation 591
 
2.2%
Decimal Number 338
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 2931
13.9%
s 2218
10.5%
e 2058
9.8%
r 1828
8.7%
n 1668
7.9%
i 1592
 
7.6%
o 1532
 
7.3%
d 1349
 
6.4%
a 1213
 
5.8%
u 667
 
3.2%
Other values (13) 3988
19.0%
Uppercase Letter
ValueCountFrequency (%)
T 299
41.1%
L 184
25.3%
D 162
22.3%
B 20
 
2.7%
S 13
 
1.8%
P 10
 
1.4%
C 9
 
1.2%
N 8
 
1.1%
Y 8
 
1.1%
Q 6
 
0.8%
Other values (3) 9
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 106
31.4%
2 72
21.3%
9 41
 
12.1%
3 25
 
7.4%
0 25
 
7.4%
8 21
 
6.2%
6 18
 
5.3%
5 14
 
4.1%
7 12
 
3.6%
4 4
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 405
68.5%
, 186
31.5%
Space Separator
ValueCountFrequency (%)
4107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21772
81.2%
Common 5036
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 2931
13.5%
s 2218
10.2%
e 2058
9.5%
r 1828
 
8.4%
n 1668
 
7.7%
i 1592
 
7.3%
o 1532
 
7.0%
d 1349
 
6.2%
a 1213
 
5.6%
u 667
 
3.1%
Other values (26) 4716
21.7%
Common
ValueCountFrequency (%)
4107
81.6%
. 405
 
8.0%
, 186
 
3.7%
1 106
 
2.1%
2 72
 
1.4%
9 41
 
0.8%
3 25
 
0.5%
0 25
 
0.5%
8 21
 
0.4%
6 18
 
0.4%
Other values (3) 30
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4107
15.3%
t 2931
10.9%
s 2218
 
8.3%
e 2058
 
7.7%
r 1828
 
6.8%
n 1668
 
6.2%
i 1592
 
5.9%
o 1532
 
5.7%
d 1349
 
5.0%
a 1213
 
4.5%
Other values (39) 6312
23.5%

priority3_prog1
Text

MISSING 

Distinct50
Distinct (%)50.0%
Missing384
Missing (%)79.3%
Memory size25.9 KiB
2023-12-09T22:32:06.046117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length128
Median length119
Mean length83.78
Min length37

Characters and Unicode

Total characters8378
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)29.0%

Sample

1st rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
2nd rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
3rd rowThen to students and residents of District 6 who sign in at an event
4th rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
5th rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
ValueCountFrequency (%)
students 147
 
10.2%
and 103
 
7.2%
then 100
 
6.9%
to 100
 
6.9%
residents 98
 
6.8%
of 97
 
6.7%
district 80
 
5.6%
from 47
 
3.3%
priority 47
 
3.3%
last 47
 
3.3%
Other values (50) 573
39.8%
2023-12-09T22:32:06.438022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1339
16.0%
t 961
11.5%
s 748
8.9%
e 620
 
7.4%
n 585
 
7.0%
r 525
 
6.3%
i 514
 
6.1%
d 446
 
5.3%
o 438
 
5.2%
a 388
 
4.6%
Other values (32) 1814
21.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6504
77.6%
Space Separator 1339
 
16.0%
Uppercase Letter 244
 
2.9%
Other Punctuation 147
 
1.8%
Decimal Number 144
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 961
14.8%
s 748
11.5%
e 620
9.5%
n 585
9.0%
r 525
8.1%
i 514
7.9%
d 446
6.9%
o 438
6.7%
a 388
 
6.0%
u 198
 
3.0%
Other values (13) 1081
16.6%
Decimal Number
ValueCountFrequency (%)
1 41
28.5%
2 20
13.9%
9 16
 
11.1%
0 14
 
9.7%
4 11
 
7.6%
5 11
 
7.6%
8 9
 
6.2%
3 9
 
6.2%
6 7
 
4.9%
7 6
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
T 100
41.0%
D 83
34.0%
L 47
19.3%
B 9
 
3.7%
Q 4
 
1.6%
M 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 98
66.7%
, 49
33.3%
Space Separator
ValueCountFrequency (%)
1339
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6748
80.5%
Common 1630
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 961
14.2%
s 748
11.1%
e 620
9.2%
n 585
8.7%
r 525
 
7.8%
i 514
 
7.6%
d 446
 
6.6%
o 438
 
6.5%
a 388
 
5.7%
u 198
 
2.9%
Other values (19) 1325
19.6%
Common
ValueCountFrequency (%)
1339
82.1%
. 98
 
6.0%
, 49
 
3.0%
1 41
 
2.5%
2 20
 
1.2%
9 16
 
1.0%
0 14
 
0.9%
4 11
 
0.7%
5 11
 
0.7%
8 9
 
0.6%
Other values (3) 22
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1339
16.0%
t 961
11.5%
s 748
8.9%
e 620
 
7.4%
n 585
 
7.0%
r 525
 
6.3%
i 514
 
6.1%
d 446
 
5.3%
o 438
 
5.2%
a 388
 
4.6%
Other values (32) 1814
21.7%

priority4_prog1
Text

MISSING 

Distinct31
Distinct (%)64.6%
Missing436
Missing (%)90.1%
Memory size20.6 KiB
2023-12-09T22:32:06.671654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length127
Median length115
Mean length88.5625
Min length44

Characters and Unicode

Total characters4251
Distinct characters39
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)43.8%

Sample

1st rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
2nd rowThen to students residing in the elementary school zone
3rd rowThen to students and residents of the elementary school zone
4th rowThen to students residing in the elementary school zone
5th rowThen to students and residents of Manhattan who sign in at an event
ValueCountFrequency (%)
students 73
 
10.2%
then 48
 
6.7%
and 48
 
6.7%
to 48
 
6.7%
of 42
 
5.8%
residents 42
 
5.8%
district 27
 
3.8%
last 26
 
3.6%
year 26
 
3.6%
this 26
 
3.6%
Other values (35) 313
43.5%
2023-12-09T22:32:07.047560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
671
15.8%
t 466
11.0%
s 352
 
8.3%
e 327
 
7.7%
n 296
 
7.0%
r 273
 
6.4%
o 245
 
5.8%
i 232
 
5.5%
d 221
 
5.2%
a 200
 
4.7%
Other values (29) 968
22.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3311
77.9%
Space Separator 671
 
15.8%
Uppercase Letter 114
 
2.7%
Other Punctuation 89
 
2.1%
Decimal Number 66
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 466
14.1%
s 352
10.6%
e 327
9.9%
n 296
8.9%
r 273
8.2%
o 245
7.4%
i 232
 
7.0%
d 221
 
6.7%
a 200
 
6.0%
h 109
 
3.3%
Other values (12) 590
17.8%
Decimal Number
ValueCountFrequency (%)
1 26
39.4%
2 12
18.2%
9 9
 
13.6%
8 6
 
9.1%
0 6
 
9.1%
3 5
 
7.6%
6 1
 
1.5%
7 1
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
T 48
42.1%
D 27
23.7%
L 26
22.8%
B 8
 
7.0%
M 4
 
3.5%
Q 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 55
61.8%
, 34
38.2%
Space Separator
ValueCountFrequency (%)
671
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3425
80.6%
Common 826
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 466
13.6%
s 352
10.3%
e 327
9.5%
n 296
8.6%
r 273
 
8.0%
o 245
 
7.2%
i 232
 
6.8%
d 221
 
6.5%
a 200
 
5.8%
h 109
 
3.2%
Other values (18) 704
20.6%
Common
ValueCountFrequency (%)
671
81.2%
. 55
 
6.7%
, 34
 
4.1%
1 26
 
3.1%
2 12
 
1.5%
9 9
 
1.1%
8 6
 
0.7%
0 6
 
0.7%
3 5
 
0.6%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
671
15.8%
t 466
11.0%
s 352
 
8.3%
e 327
 
7.7%
n 296
 
7.0%
r 273
 
6.4%
o 245
 
5.8%
i 232
 
5.5%
d 221
 
5.2%
a 200
 
4.7%
Other values (29) 968
22.8%

priority5_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog1
Text

MISSING 

Distinct4
Distinct (%)26.7%
Missing469
Missing (%)96.9%
Memory size19.3 KiB
2023-12-09T22:32:07.289254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length255
Mean length248.6666667
Min length207

Characters and Unicode

Total characters3730
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)13.3%

Sample

1st rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
2nd rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
3rd rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
4th rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
5th rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
ValueCountFrequency (%)
language 75
 
15.6%
the 43
 
8.9%
target 30
 
6.2%
of 30
 
6.2%
speakers 15
 
3.1%
programs 15
 
3.1%
education 15
 
3.1%
bilingual 15
 
3.1%
transitional 15
 
3.1%
and 15
 
3.1%
Other values (15) 213
44.3%
2023-12-09T22:32:07.640495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
466
12.5%
e 391
 
10.5%
a 375
 
10.1%
n 277
 
7.4%
g 266
 
7.1%
t 232
 
6.2%
l 191
 
5.1%
r 191
 
5.1%
i 189
 
5.1%
s 159
 
4.3%
Other values (26) 993
26.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2935
78.7%
Space Separator 466
 
12.5%
Uppercase Letter 227
 
6.1%
Other Punctuation 57
 
1.5%
Close Punctuation 15
 
0.4%
Open Punctuation 15
 
0.4%
Dash Punctuation 15
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 391
13.3%
a 375
12.8%
n 277
9.4%
g 266
9.1%
t 232
7.9%
l 191
 
6.5%
r 191
 
6.5%
i 189
 
6.4%
s 159
 
5.4%
o 144
 
4.9%
Other values (11) 520
17.7%
Uppercase Letter
ValueCountFrequency (%)
L 90
39.6%
E 45
19.8%
P 17
 
7.5%
H 15
 
6.6%
S 15
 
6.6%
T 15
 
6.6%
B 15
 
6.6%
D 15
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 30
52.6%
. 14
24.6%
: 13
22.8%
Space Separator
ValueCountFrequency (%)
466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3162
84.8%
Common 568
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 391
12.4%
a 375
11.9%
n 277
 
8.8%
g 266
 
8.4%
t 232
 
7.3%
l 191
 
6.0%
r 191
 
6.0%
i 189
 
6.0%
s 159
 
5.0%
o 144
 
4.6%
Other values (19) 747
23.6%
Common
ValueCountFrequency (%)
466
82.0%
, 30
 
5.3%
) 15
 
2.6%
( 15
 
2.6%
- 15
 
2.6%
. 14
 
2.5%
: 13
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
466
12.5%
e 391
 
10.5%
a 375
 
10.1%
n 277
 
7.4%
g 266
 
7.1%
t 232
 
6.2%
l 191
 
5.1%
r 191
 
5.1%
i 189
 
5.1%
s 159
 
4.3%
Other values (26) 993
26.6%

lowestpriority_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB
Distinct23
Distinct (%)5.4%
Missing58
Missing (%)12.0%
Memory size54.2 KiB
2023-12-09T22:32:07.871165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length131
Median length120
Mean length68.74413146
Min length8

Characters and Unicode

Total characters29285
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.3%

Sample

1st rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
2nd rowStudents who apply to this program will be randomly selected
3rd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
4th rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
5th rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
ValueCountFrequency (%)
the 410
 
8.3%
to 258
 
5.2%
students 257
 
5.2%
will 257
 
5.2%
selected 257
 
5.2%
be 257
 
5.2%
who 257
 
5.2%
apply 257
 
5.2%
program 256
 
5.2%
this 255
 
5.2%
Other values (67) 2205
44.8%
2023-12-09T22:32:08.238169image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4500
15.4%
e 2751
 
9.4%
t 2360
 
8.1%
o 2201
 
7.5%
r 1971
 
6.7%
l 1576
 
5.4%
i 1487
 
5.1%
d 1413
 
4.8%
a 1389
 
4.7%
s 1329
 
4.5%
Other values (45) 8308
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 23968
81.8%
Space Separator 4500
 
15.4%
Uppercase Letter 646
 
2.2%
Other Punctuation 94
 
0.3%
Decimal Number 73
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2751
11.5%
t 2360
 
9.8%
o 2201
 
9.2%
r 1971
 
8.2%
l 1576
 
6.6%
i 1487
 
6.2%
d 1413
 
5.9%
a 1389
 
5.8%
s 1329
 
5.5%
p 1201
 
5.0%
Other values (13) 6290
26.2%
Uppercase Letter
ValueCountFrequency (%)
S 270
41.8%
A 157
24.3%
P 66
 
10.2%
B 56
 
8.7%
L 16
 
2.5%
E 15
 
2.3%
G 12
 
1.9%
M 7
 
1.1%
C 7
 
1.1%
F 6
 
0.9%
Other values (8) 34
 
5.3%
Other Punctuation
ValueCountFrequency (%)
: 38
40.4%
% 38
40.4%
. 10
 
10.6%
, 6
 
6.4%
& 1
 
1.1%
/ 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 19
26.0%
5 18
24.7%
1 18
24.7%
4 12
16.4%
2 5
 
6.8%
7 1
 
1.4%
Space Separator
ValueCountFrequency (%)
4500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24614
84.0%
Common 4671
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2751
 
11.2%
t 2360
 
9.6%
o 2201
 
8.9%
r 1971
 
8.0%
l 1576
 
6.4%
i 1487
 
6.0%
d 1413
 
5.7%
a 1389
 
5.6%
s 1329
 
5.4%
p 1201
 
4.9%
Other values (31) 6936
28.2%
Common
ValueCountFrequency (%)
4500
96.3%
: 38
 
0.8%
% 38
 
0.8%
0 19
 
0.4%
5 18
 
0.4%
1 18
 
0.4%
4 12
 
0.3%
. 10
 
0.2%
, 6
 
0.1%
2 5
 
0.1%
Other values (4) 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4500
15.4%
e 2751
 
9.4%
t 2360
 
8.1%
o 2201
 
7.5%
r 1971
 
6.7%
l 1576
 
5.4%
i 1487
 
5.1%
d 1413
 
4.8%
a 1389
 
4.7%
s 1329
 
4.5%
Other values (45) 8308
28.4%
Distinct32
Distinct (%)19.3%
Missing318
Missing (%)65.7%
Memory size23.1 KiB
2023-12-09T22:32:08.470266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length71
Median length54
Mean length23.40361446
Min length8

Characters and Unicode

Total characters3885
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)10.8%

Sample

1st rowAttendance
2nd row4th Grade New York State ELA and Math Exams
3rd rowFinal 4th Grade Report Card
4th rowSpanish Interview
5th rowPrior participation in Spanish Dual Language Program
ValueCountFrequency (%)
grade 80
12.6%
4th 78
12.3%
final 70
11.0%
report 69
10.8%
card 69
10.8%
attendance 58
 
9.1%
45 20
 
3.1%
and 17
 
2.7%
40 12
 
1.9%
punctuality 10
 
1.6%
Other values (59) 153
24.1%
2023-12-09T22:32:08.836747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
471
 
12.1%
a 373
 
9.6%
t 357
 
9.2%
e 351
 
9.0%
r 269
 
6.9%
n 265
 
6.8%
d 236
 
6.1%
o 127
 
3.3%
i 121
 
3.1%
4 112
 
2.9%
Other values (47) 1203
31.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2650
68.2%
Uppercase Letter 516
 
13.3%
Space Separator 471
 
12.1%
Decimal Number 157
 
4.0%
Other Punctuation 89
 
2.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 373
14.1%
t 357
13.5%
e 351
13.2%
r 269
10.2%
n 265
10.0%
d 236
8.9%
o 127
 
4.8%
i 121
 
4.6%
h 101
 
3.8%
c 93
 
3.5%
Other values (12) 357
13.5%
Uppercase Letter
ValueCountFrequency (%)
A 83
16.1%
G 81
15.7%
C 72
14.0%
F 70
13.6%
R 69
13.4%
E 25
 
4.8%
S 22
 
4.3%
P 20
 
3.9%
L 12
 
2.3%
N 10
 
1.9%
Other values (11) 52
10.1%
Other Punctuation
ValueCountFrequency (%)
: 40
44.9%
% 38
42.7%
/ 5
 
5.6%
, 3
 
3.4%
. 2
 
2.2%
& 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
4 112
71.3%
5 26
 
16.6%
0 13
 
8.3%
3 5
 
3.2%
7 1
 
0.6%
Space Separator
ValueCountFrequency (%)
471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3166
81.5%
Common 719
 
18.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 373
11.8%
t 357
11.3%
e 351
11.1%
r 269
 
8.5%
n 265
 
8.4%
d 236
 
7.5%
o 127
 
4.0%
i 121
 
3.8%
h 101
 
3.2%
c 93
 
2.9%
Other values (33) 873
27.6%
Common
ValueCountFrequency (%)
471
65.5%
4 112
 
15.6%
: 40
 
5.6%
% 38
 
5.3%
5 26
 
3.6%
0 13
 
1.8%
/ 5
 
0.7%
3 5
 
0.7%
, 3
 
0.4%
. 2
 
0.3%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
471
 
12.1%
a 373
 
9.6%
t 357
 
9.2%
e 351
 
9.0%
r 269
 
6.9%
n 265
 
6.8%
d 236
 
6.1%
o 127
 
3.3%
i 121
 
3.1%
4 112
 
2.9%
Other values (47) 1203
31.0%
Distinct40
Distinct (%)24.5%
Missing321
Missing (%)66.3%
Memory size23.8 KiB
2023-12-09T22:32:09.072803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length54
Median length50
Mean length28.47239264
Min length8

Characters and Unicode

Total characters4641
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)16.6%

Sample

1st rowFinal 4th Grade Report Card
2nd rowFinal 4th Grade Report Card
3rd row4th Grade New York State ELA and Math Exams
4th rowSpanish Reading and Writing Activity
5th row4th Grade New York State ELA and Math Exams
ValueCountFrequency (%)
grade 68
 
8.1%
4th 67
 
7.9%
math 62
 
7.3%
new 60
 
7.1%
york 59
 
7.0%
state 59
 
7.0%
final 47
 
5.6%
report 46
 
5.5%
card 46
 
5.5%
exam 43
 
5.1%
Other values (66) 287
34.0%
2023-12-09T22:32:09.470345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
681
14.7%
a 445
 
9.6%
t 411
 
8.9%
e 353
 
7.6%
r 279
 
6.0%
n 194
 
4.2%
o 180
 
3.9%
d 168
 
3.6%
h 149
 
3.2%
i 114
 
2.5%
Other values (49) 1667
35.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2931
63.2%
Uppercase Letter 739
 
15.9%
Space Separator 681
 
14.7%
Decimal Number 168
 
3.6%
Other Punctuation 118
 
2.5%
Dash Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 445
15.2%
t 411
14.0%
e 353
12.0%
r 279
9.5%
n 194
 
6.6%
o 180
 
6.1%
d 168
 
5.7%
h 149
 
5.1%
i 114
 
3.9%
l 75
 
2.6%
Other values (13) 563
19.2%
Uppercase Letter
ValueCountFrequency (%)
E 97
13.1%
S 78
10.6%
G 77
10.4%
M 63
8.5%
N 61
8.3%
Y 60
8.1%
C 52
7.0%
A 50
6.8%
R 49
6.6%
F 47
6.4%
Other values (11) 105
14.2%
Decimal Number
ValueCountFrequency (%)
4 67
39.9%
2 53
31.5%
5 25
 
14.9%
0 13
 
7.7%
1 5
 
3.0%
7 5
 
3.0%
Other Punctuation
ValueCountFrequency (%)
: 43
36.4%
% 38
32.2%
. 27
22.9%
/ 9
 
7.6%
& 1
 
0.8%
Space Separator
ValueCountFrequency (%)
681
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3670
79.1%
Common 971
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 445
 
12.1%
t 411
 
11.2%
e 353
 
9.6%
r 279
 
7.6%
n 194
 
5.3%
o 180
 
4.9%
d 168
 
4.6%
h 149
 
4.1%
i 114
 
3.1%
E 97
 
2.6%
Other values (34) 1280
34.9%
Common
ValueCountFrequency (%)
681
70.1%
4 67
 
6.9%
2 53
 
5.5%
: 43
 
4.4%
% 38
 
3.9%
. 27
 
2.8%
5 25
 
2.6%
0 13
 
1.3%
/ 9
 
0.9%
1 5
 
0.5%
Other values (5) 10
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
681
14.7%
a 445
 
9.6%
t 411
 
8.9%
e 353
 
7.6%
r 279
 
6.0%
n 194
 
4.2%
o 180
 
3.9%
d 168
 
3.6%
h 149
 
3.2%
i 114
 
2.5%
Other values (49) 1667
35.9%
Distinct40
Distinct (%)26.8%
Missing335
Missing (%)69.2%
Memory size22.4 KiB
2023-12-09T22:32:09.709851image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length58
Median length43
Mean length24.26174497
Min length9

Characters and Unicode

Total characters3615
Distinct characters60
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)18.8%

Sample

1st rowDual Language Entrance Exam
2nd rowAdmissions Test
3rd rowEssay/Writing Sample
4th rowFinal 4th Grade Report Card
5th row4th Grade New York ELA and Math Exams
ValueCountFrequency (%)
ela 59
 
9.2%
york 57
 
8.9%
new 57
 
8.9%
state 56
 
8.7%
exam 47
 
7.3%
4th 34
 
5.3%
grade 34
 
5.3%
math 29
 
4.5%
and 23
 
3.6%
punctuality 22
 
3.4%
Other values (68) 223
34.8%
2023-12-09T22:32:10.088140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
 
13.6%
t 311
 
8.6%
a 308
 
8.5%
e 264
 
7.3%
r 187
 
5.2%
n 144
 
4.0%
E 139
 
3.8%
i 113
 
3.1%
o 104
 
2.9%
d 91
 
2.5%
Other values (50) 1462
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2212
61.2%
Uppercase Letter 659
 
18.2%
Space Separator 492
 
13.6%
Decimal Number 136
 
3.8%
Other Punctuation 112
 
3.1%
Dash Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 311
14.1%
a 308
13.9%
e 264
11.9%
r 187
 
8.5%
n 144
 
6.5%
i 113
 
5.1%
o 104
 
4.7%
d 91
 
4.1%
w 80
 
3.6%
m 78
 
3.5%
Other values (14) 532
24.1%
Uppercase Letter
ValueCountFrequency (%)
E 139
21.1%
S 76
11.5%
A 66
10.0%
L 65
9.9%
N 58
8.8%
Y 57
8.6%
G 38
 
5.8%
M 32
 
4.9%
P 31
 
4.7%
I 23
 
3.5%
Other values (9) 74
11.2%
Decimal Number
ValueCountFrequency (%)
2 54
39.7%
4 34
25.0%
5 25
18.4%
0 13
 
9.6%
1 5
 
3.7%
7 5
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 43
38.4%
% 38
33.9%
. 25
22.3%
, 3
 
2.7%
/ 2
 
1.8%
& 1
 
0.9%
Space Separator
ValueCountFrequency (%)
492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2871
79.4%
Common 744
 
20.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 311
 
10.8%
a 308
 
10.7%
e 264
 
9.2%
r 187
 
6.5%
n 144
 
5.0%
E 139
 
4.8%
i 113
 
3.9%
o 104
 
3.6%
d 91
 
3.2%
w 80
 
2.8%
Other values (33) 1130
39.4%
Common
ValueCountFrequency (%)
492
66.1%
2 54
 
7.3%
: 43
 
5.8%
% 38
 
5.1%
4 34
 
4.6%
5 25
 
3.4%
. 25
 
3.4%
0 13
 
1.7%
1 5
 
0.7%
7 5
 
0.7%
Other values (7) 10
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3615
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
 
13.6%
t 311
 
8.6%
a 308
 
8.5%
e 264
 
7.3%
r 187
 
5.2%
n 144
 
4.0%
E 139
 
3.8%
i 113
 
3.1%
o 104
 
2.9%
d 91
 
2.5%
Other values (50) 1462
40.4%
Distinct36
Distinct (%)31.6%
Missing370
Missing (%)76.4%
Memory size20.7 KiB
2023-12-09T22:32:10.378431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length41
Mean length24.10526316
Min length9

Characters and Unicode

Total characters2748
Distinct characters56
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)21.9%

Sample

1st rowPunctuality
2nd rowAttendance to Open House or Tour
3rd rowNYSESLAT Score
4th rowPunctuality
5th rowPunctuality: 5%
ValueCountFrequency (%)
punctuality 44
 
10.2%
and 38
 
8.8%
math 26
 
6.0%
grade 22
 
5.1%
4th 22
 
5.1%
new 21
 
4.9%
ela 21
 
4.9%
york 20
 
4.7%
state 20
 
4.7%
exams 19
 
4.4%
Other values (55) 177
41.2%
2023-12-09T22:32:10.839013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
316
 
11.5%
a 265
 
9.6%
t 234
 
8.5%
e 178
 
6.5%
n 162
 
5.9%
i 126
 
4.6%
r 119
 
4.3%
c 98
 
3.6%
u 96
 
3.5%
d 89
 
3.2%
Other values (46) 1065
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1906
69.4%
Uppercase Letter 379
 
13.8%
Space Separator 316
 
11.5%
Other Punctuation 74
 
2.7%
Decimal Number 69
 
2.5%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 265
13.9%
t 234
12.3%
e 178
 
9.3%
n 162
 
8.5%
i 126
 
6.6%
r 119
 
6.2%
c 98
 
5.1%
u 96
 
5.0%
d 89
 
4.7%
s 86
 
4.5%
Other values (13) 453
23.8%
Uppercase Letter
ValueCountFrequency (%)
P 62
16.4%
E 57
15.0%
A 47
12.4%
S 34
9.0%
M 27
7.1%
G 23
 
6.1%
L 23
 
6.1%
N 22
 
5.8%
Y 21
 
5.5%
B 17
 
4.5%
Other values (10) 46
12.1%
Decimal Number
ValueCountFrequency (%)
4 22
31.9%
5 19
27.5%
0 13
18.8%
1 10
14.5%
2 4
 
5.8%
3 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 37
50.0%
% 33
44.6%
, 2
 
2.7%
/ 2
 
2.7%
Space Separator
ValueCountFrequency (%)
316
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2285
83.2%
Common 463
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 265
 
11.6%
t 234
 
10.2%
e 178
 
7.8%
n 162
 
7.1%
i 126
 
5.5%
r 119
 
5.2%
c 98
 
4.3%
u 96
 
4.2%
d 89
 
3.9%
s 86
 
3.8%
Other values (33) 832
36.4%
Common
ValueCountFrequency (%)
316
68.3%
: 37
 
8.0%
% 33
 
7.1%
4 22
 
4.8%
5 19
 
4.1%
0 13
 
2.8%
1 10
 
2.2%
2 4
 
0.9%
( 2
 
0.4%
, 2
 
0.4%
Other values (3) 5
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
316
 
11.5%
a 265
 
9.6%
t 234
 
8.5%
e 178
 
6.5%
n 162
 
5.9%
i 126
 
4.6%
r 119
 
4.3%
c 98
 
3.6%
u 96
 
3.5%
d 89
 
3.2%
Other values (46) 1065
38.8%
Distinct20
Distinct (%)45.5%
Missing440
Missing (%)90.9%
Memory size17.5 KiB
2023-12-09T22:32:11.113053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length47
Median length39.5
Mean length26.40909091
Min length9

Characters and Unicode

Total characters1162
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)31.8%

Sample

1st row4th Grade New York State ELA and Math Exams
2nd row4th Grade New York State ELA and Math Exams
3rd row4th Grade New York State ELA and Math Exams
4th rowCurrent ELL/Participation in Spanish DL Program
5th rowWriting Excerice
ValueCountFrequency (%)
and 18
 
8.8%
ela 17
 
8.3%
exams 17
 
8.3%
4th 16
 
7.8%
new 16
 
7.8%
york 16
 
7.8%
state 16
 
7.8%
math 16
 
7.8%
grade 16
 
7.8%
writing 7
 
3.4%
Other values (33) 50
24.4%
2023-12-09T22:32:11.530389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
13.9%
t 109
 
9.4%
a 105
 
9.0%
e 82
 
7.1%
r 60
 
5.2%
n 56
 
4.8%
i 52
 
4.5%
d 39
 
3.4%
E 38
 
3.3%
h 36
 
3.1%
Other values (37) 424
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 776
66.8%
Uppercase Letter 203
 
17.5%
Space Separator 161
 
13.9%
Decimal Number 17
 
1.5%
Other Punctuation 4
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 109
14.0%
a 105
13.5%
e 82
10.6%
r 60
 
7.7%
n 56
 
7.2%
i 52
 
6.7%
d 39
 
5.0%
h 36
 
4.6%
o 35
 
4.5%
s 30
 
3.9%
Other values (13) 172
22.2%
Uppercase Letter
ValueCountFrequency (%)
E 38
18.7%
S 25
12.3%
A 24
11.8%
L 20
9.9%
G 17
8.4%
M 16
7.9%
Y 16
7.9%
N 16
7.9%
P 11
 
5.4%
W 7
 
3.4%
Other values (7) 13
 
6.4%
Other Punctuation
ValueCountFrequency (%)
: 2
50.0%
% 1
25.0%
/ 1
25.0%
Decimal Number
ValueCountFrequency (%)
4 16
94.1%
5 1
 
5.9%
Space Separator
ValueCountFrequency (%)
161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 979
84.3%
Common 183
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 109
 
11.1%
a 105
 
10.7%
e 82
 
8.4%
r 60
 
6.1%
n 56
 
5.7%
i 52
 
5.3%
d 39
 
4.0%
E 38
 
3.9%
h 36
 
3.7%
o 35
 
3.6%
Other values (30) 367
37.5%
Common
ValueCountFrequency (%)
161
88.0%
4 16
 
8.7%
: 2
 
1.1%
- 1
 
0.5%
5 1
 
0.5%
% 1
 
0.5%
/ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
 
13.9%
t 109
 
9.4%
a 105
 
9.0%
e 82
 
7.1%
r 60
 
5.2%
n 56
 
4.8%
i 52
 
4.5%
d 39
 
3.4%
E 38
 
3.3%
h 36
 
3.1%
Other values (37) 424
36.5%

selectioncriteria7_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

code_prog2
Text

MISSING 

Distinct107
Distinct (%)99.1%
Missing376
Missing (%)77.7%
Memory size18.4 KiB
2023-12-09T22:32:11.931075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length5
Mean length5.185185185
Min length5

Characters and Unicode

Total characters560
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)98.1%

Sample

1st rowM052Z
2nd rowM319U
3rd rowM322U
4th rowM328U
5th rowK201Z
ValueCountFrequency (%)
talent 2
 
1.8%
programs 2
 
1.8%
x390m 1
 
0.9%
m131n 1
 
0.9%
q157m 1
 
0.9%
k180s 1
 
0.9%
r061m 1
 
0.9%
m378m 1
 
0.9%
k340l 1
 
0.9%
q230z 1
 
0.9%
Other values (98) 98
89.1%
2023-12-09T22:32:12.458261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 56
 
10.0%
2 53
 
9.5%
0 43
 
7.7%
Z 41
 
7.3%
K 40
 
7.1%
3 31
 
5.5%
M 31
 
5.5%
4 28
 
5.0%
8 27
 
4.8%
7 26
 
4.6%
Other values (26) 184
32.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 318
56.8%
Uppercase Letter 216
38.6%
Lowercase Letter 24
 
4.3%
Space Separator 2
 
0.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 41
19.0%
K 40
18.5%
M 31
14.4%
U 26
12.0%
X 23
10.6%
Q 22
10.2%
N 12
 
5.6%
R 6
 
2.8%
S 5
 
2.3%
L 3
 
1.4%
Other values (5) 7
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 56
17.6%
2 53
16.7%
0 43
13.5%
3 31
9.7%
4 28
8.8%
8 27
8.5%
7 26
8.2%
9 20
 
6.3%
6 19
 
6.0%
5 15
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
a 4
16.7%
r 4
16.7%
s 2
8.3%
m 2
8.3%
g 2
8.3%
o 2
8.3%
t 2
8.3%
n 2
8.3%
e 2
8.3%
l 2
8.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 320
57.1%
Latin 240
42.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 41
17.1%
K 40
16.7%
M 31
12.9%
U 26
10.8%
X 23
9.6%
Q 22
9.2%
N 12
 
5.0%
R 6
 
2.5%
S 5
 
2.1%
a 4
 
1.7%
Other values (15) 30
12.5%
Common
ValueCountFrequency (%)
1 56
17.5%
2 53
16.6%
0 43
13.4%
3 31
9.7%
4 28
8.8%
8 27
8.4%
7 26
8.1%
9 20
 
6.2%
6 19
 
5.9%
5 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 56
 
10.0%
2 53
 
9.5%
0 43
 
7.7%
Z 41
 
7.3%
K 40
 
7.1%
3 31
 
5.5%
M 31
 
5.5%
4 28
 
5.0%
8 27
 
4.8%
7 26
 
4.6%
Other values (26) 184
32.9%

name_prog2
Text

MISSING 

Distinct86
Distinct (%)80.4%
Missing377
Missing (%)77.9%
Memory size21.3 KiB
2023-12-09T22:32:12.790756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length76
Median length55
Mean length32.6728972
Min length13

Characters and Unicode

Total characters3496
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)76.6%

Sample

1st rowInwood I.S. 52 Zoned Program
2nd rowMaria Teresa Mirabal (M.S. 319)
3rd rowThe Renaissance Leadership Academy (M.S. 322)
4th rowCommunity Math & Science Program
5th rowZoned Program
ValueCountFrequency (%)
program 63
 
11.9%
zoned 36
 
6.8%
school 23
 
4.3%
i.s 21
 
4.0%
dual 14
 
2.6%
language 14
 
2.6%
the 13
 
2.4%
11
 
2.1%
spanish 10
 
1.9%
academy 10
 
1.9%
Other values (218) 316
59.5%
2023-12-09T22:32:13.293012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
12.1%
a 247
 
7.1%
r 246
 
7.0%
e 237
 
6.8%
o 236
 
6.8%
n 164
 
4.7%
i 120
 
3.4%
g 119
 
3.4%
. 116
 
3.3%
S 112
 
3.2%
Other values (57) 1475
42.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2192
62.7%
Uppercase Letter 525
 
15.0%
Space Separator 424
 
12.1%
Other Punctuation 143
 
4.1%
Decimal Number 142
 
4.1%
Close Punctuation 34
 
1.0%
Open Punctuation 34
 
1.0%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 112
21.3%
P 87
16.6%
M 42
 
8.0%
Z 37
 
7.0%
A 32
 
6.1%
I 32
 
6.1%
L 31
 
5.9%
T 19
 
3.6%
D 19
 
3.6%
H 19
 
3.6%
Other values (15) 95
18.1%
Lowercase Letter
ValueCountFrequency (%)
a 247
11.3%
r 246
11.2%
e 237
10.8%
o 236
10.8%
n 164
 
7.5%
i 120
 
5.5%
g 119
 
5.4%
d 108
 
4.9%
t 105
 
4.8%
l 103
 
4.7%
Other values (13) 507
23.1%
Decimal Number
ValueCountFrequency (%)
2 29
20.4%
1 24
16.9%
3 14
9.9%
8 14
9.9%
9 13
9.2%
4 12
8.5%
7 11
 
7.7%
6 10
 
7.0%
5 9
 
6.3%
0 6
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 116
81.1%
: 10
 
7.0%
& 9
 
6.3%
/ 5
 
3.5%
, 3
 
2.1%
Space Separator
ValueCountFrequency (%)
424
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2717
77.7%
Common 779
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 247
 
9.1%
r 246
 
9.1%
e 237
 
8.7%
o 236
 
8.7%
n 164
 
6.0%
i 120
 
4.4%
g 119
 
4.4%
S 112
 
4.1%
d 108
 
4.0%
t 105
 
3.9%
Other values (38) 1023
37.7%
Common
ValueCountFrequency (%)
424
54.4%
. 116
 
14.9%
) 34
 
4.4%
( 34
 
4.4%
2 29
 
3.7%
1 24
 
3.1%
3 14
 
1.8%
8 14
 
1.8%
9 13
 
1.7%
4 12
 
1.5%
Other values (9) 65
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3496
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
 
12.1%
a 247
 
7.1%
r 246
 
7.0%
e 237
 
6.8%
o 236
 
6.8%
n 164
 
4.7%
i 120
 
3.4%
g 119
 
3.4%
. 116
 
3.3%
S 112
 
3.2%
Other values (57) 1475
42.2%
Distinct7
Distinct (%)6.5%
Missing377
Missing (%)77.9%
Memory size18.8 KiB
2023-12-09T22:32:13.484096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.08411215
Min length5

Characters and Unicode

Total characters972
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st rowZoned
2nd rowUnscreened
3rd rowUnscreened
4th rowUnscreened
5th rowZoned
ValueCountFrequency (%)
zoned 41
32.3%
screened 32
25.2%
unscreened 31
24.4%
language 14
 
11.0%
limited 3
 
2.4%
talent 2
 
1.6%
test 2
 
1.6%
composite 1
 
0.8%
score 1
 
0.8%
2023-12-09T22:32:13.784969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 253
26.0%
n 151
15.5%
d 107
11.0%
c 64
 
6.6%
r 64
 
6.6%
o 44
 
4.5%
Z 41
 
4.2%
s 34
 
3.5%
S 33
 
3.4%
U 31
 
3.2%
Other values (13) 150
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 811
83.4%
Uppercase Letter 127
 
13.1%
Space Separator 20
 
2.1%
Other Punctuation 14
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 253
31.2%
n 151
18.6%
d 107
13.2%
c 64
 
7.9%
r 64
 
7.9%
o 44
 
5.4%
s 34
 
4.2%
a 30
 
3.7%
g 28
 
3.5%
u 14
 
1.7%
Other values (5) 22
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
Z 41
32.3%
S 33
26.0%
U 31
24.4%
L 17
13.4%
T 4
 
3.1%
C 1
 
0.8%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
: 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 938
96.5%
Common 34
 
3.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 253
27.0%
n 151
16.1%
d 107
11.4%
c 64
 
6.8%
r 64
 
6.8%
o 44
 
4.7%
Z 41
 
4.4%
s 34
 
3.6%
S 33
 
3.5%
U 31
 
3.3%
Other values (11) 116
12.4%
Common
ValueCountFrequency (%)
20
58.8%
: 14
41.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 972
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 253
26.0%
n 151
15.5%
d 107
11.0%
c 64
 
6.6%
r 64
 
6.6%
o 44
 
4.5%
Z 41
 
4.2%
s 34
 
3.5%
S 33
 
3.4%
U 31
 
3.2%
Other values (13) 150
15.4%

geapps_prog2
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing459
Missing (%)94.8%
Memory size15.9 KiB
2023-12-09T22:32:14.018288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.92
Min length2

Characters and Unicode

Total characters73
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row236
2nd row145
3rd row91
4th row682
5th row197
ValueCountFrequency (%)
91 1
 
4.0%
283 1
 
4.0%
325 1
 
4.0%
77 1
 
4.0%
682 1
 
4.0%
110 1
 
4.0%
145 1
 
4.0%
304 1
 
4.0%
68 1
 
4.0%
197 1
 
4.0%
Other values (15) 15
60.0%
2023-12-09T22:32:14.384849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
24.7%
1 11
15.1%
3 8
11.0%
0 6
 
8.2%
4 6
 
8.2%
7 6
 
8.2%
6 6
 
8.2%
8 6
 
8.2%
5 4
 
5.5%
9 2
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
24.7%
1 11
15.1%
3 8
11.0%
0 6
 
8.2%
4 6
 
8.2%
7 6
 
8.2%
6 6
 
8.2%
8 6
 
8.2%
5 4
 
5.5%
9 2
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 73
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
24.7%
1 11
15.1%
3 8
11.0%
0 6
 
8.2%
4 6
 
8.2%
7 6
 
8.2%
6 6
 
8.2%
8 6
 
8.2%
5 4
 
5.5%
9 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
24.7%
1 11
15.1%
3 8
11.0%
0 6
 
8.2%
4 6
 
8.2%
7 6
 
8.2%
6 6
 
8.2%
8 6
 
8.2%
5 4
 
5.5%
9 2
 
2.7%

swdapps_prog2
Text

MISSING 

Distinct21
Distinct (%)84.0%
Missing459
Missing (%)94.8%
Memory size15.9 KiB
2023-12-09T22:32:14.580397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.04
Min length2

Characters and Unicode

Total characters51
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row68
2nd row40
3rd row14
4th row169
5th row56
ValueCountFrequency (%)
68 4
 
16.0%
48 2
 
8.0%
56 1
 
4.0%
38 1
 
4.0%
30 1
 
4.0%
52 1
 
4.0%
17 1
 
4.0%
33 1
 
4.0%
169 1
 
4.0%
59 1
 
4.0%
Other values (11) 11
44.0%
2023-12-09T22:32:14.891429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 9
17.6%
4 8
15.7%
6 6
11.8%
5 6
11.8%
3 5
9.8%
7 4
7.8%
1 4
7.8%
0 3
 
5.9%
2 3
 
5.9%
9 3
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 51
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 9
17.6%
4 8
15.7%
6 6
11.8%
5 6
11.8%
3 5
9.8%
7 4
7.8%
1 4
7.8%
0 3
 
5.9%
2 3
 
5.9%
9 3
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Common 51
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 9
17.6%
4 8
15.7%
6 6
11.8%
5 6
11.8%
3 5
9.8%
7 4
7.8%
1 4
7.8%
0 3
 
5.9%
2 3
 
5.9%
9 3
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 9
17.6%
4 8
15.7%
6 6
11.8%
5 6
11.8%
3 5
9.8%
7 4
7.8%
1 4
7.8%
0 3
 
5.9%
2 3
 
5.9%
9 3
 
5.9%

geappsperseat_prog2
Text

MISSING 

Distinct12
Distinct (%)48.0%
Missing459
Missing (%)94.8%
Memory size15.9 KiB
2023-12-09T22:32:15.058665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.28
Min length1

Characters and Unicode

Total characters32
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row2
2nd row2
3rd row2
4th row15
5th row4
ValueCountFrequency (%)
4 5
20.0%
2 5
20.0%
3 4
16.0%
10 3
12.0%
12 1
 
4.0%
1 1
 
4.0%
15 1
 
4.0%
17 1
 
4.0%
7 1
 
4.0%
6 1
 
4.0%
Other values (2) 2
 
8.0%
2023-12-09T22:32:15.352428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
25.0%
2 6
18.8%
4 5
15.6%
3 5
15.6%
0 3
 
9.4%
5 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
25.0%
2 6
18.8%
4 5
15.6%
3 5
15.6%
0 3
 
9.4%
5 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
25.0%
2 6
18.8%
4 5
15.6%
3 5
15.6%
0 3
 
9.4%
5 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
25.0%
2 6
18.8%
4 5
15.6%
3 5
15.6%
0 3
 
9.4%
5 2
 
6.2%
7 2
 
6.2%
6 1
 
3.1%

swdappsperseat_prog2
Text

MISSING 

Distinct12
Distinct (%)48.0%
Missing459
Missing (%)94.8%
Memory size15.9 KiB
2023-12-09T22:32:15.502916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.2
Min length1

Characters and Unicode

Total characters30
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)32.0%

Sample

1st row3
2nd row2
3rd row1
4th row11
5th row3
ValueCountFrequency (%)
3 7
28.0%
2 6
24.0%
12 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
1 1
 
4.0%
15 1
 
4.0%
6 1
 
4.0%
8 1
 
4.0%
11 1
 
4.0%
Other values (2) 2
 
8.0%
2023-12-09T22:32:15.762183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
26.7%
3 7
23.3%
1 7
23.3%
5 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
3 7
23.3%
1 7
23.3%
5 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Common 30
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
26.7%
3 7
23.3%
1 7
23.3%
5 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
26.7%
3 7
23.3%
1 7
23.3%
5 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
0 1
 
3.3%

swdseats_prog2
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing462
Missing (%)95.5%
Memory size15.8 KiB
2023-12-09T22:32:15.933278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.454545455
Min length1

Characters and Unicode

Total characters32
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)50.0%

Sample

1st row20
2nd row17
3rd row10
4th row15
5th row19
ValueCountFrequency (%)
7 4
18.2%
5 3
13.6%
9 2
 
9.1%
6 2
 
9.1%
12 1
 
4.5%
19 1
 
4.5%
15 1
 
4.5%
10 1
 
4.5%
17 1
 
4.5%
21 1
 
4.5%
Other values (5) 5
22.7%
2023-12-09T22:32:16.223955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 7
21.9%
2 6
18.8%
7 5
15.6%
5 4
12.5%
9 4
12.5%
6 3
9.4%
0 2
 
6.2%
4 1
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
21.9%
2 6
18.8%
7 5
15.6%
5 4
12.5%
9 4
12.5%
6 3
9.4%
0 2
 
6.2%
4 1
 
3.1%

Most occurring scripts

ValueCountFrequency (%)
Common 32
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
21.9%
2 6
18.8%
7 5
15.6%
5 4
12.5%
9 4
12.5%
6 3
9.4%
0 2
 
6.2%
4 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 7
21.9%
2 6
18.8%
7 5
15.6%
5 4
12.5%
9 4
12.5%
6 3
9.4%
0 2
 
6.2%
4 1
 
3.1%

geseats_prog2
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing462
Missing (%)95.5%
Memory size15.8 KiB
2023-12-09T22:32:16.404147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.045454545
Min length2

Characters and Unicode

Total characters45
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)54.5%

Sample

1st row96
2nd row83
3rd row50
4th row45
5th row56
ValueCountFrequency (%)
23 5
22.7%
25 3
13.6%
24 2
 
9.1%
41 1
 
4.5%
96 1
 
4.5%
49 1
 
4.5%
121 1
 
4.5%
68 1
 
4.5%
45 1
 
4.5%
99 1
 
4.5%
Other values (5) 5
22.7%
2023-12-09T22:32:16.696747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 11
24.4%
3 6
13.3%
5 6
13.3%
4 5
11.1%
9 5
11.1%
6 5
11.1%
1 4
 
8.9%
8 2
 
4.4%
0 1
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 11
24.4%
3 6
13.3%
5 6
13.3%
4 5
11.1%
9 5
11.1%
6 5
11.1%
1 4
 
8.9%
8 2
 
4.4%
0 1
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
Common 45
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 11
24.4%
3 6
13.3%
5 6
13.3%
4 5
11.1%
9 5
11.1%
6 5
11.1%
1 4
 
8.9%
8 2
 
4.4%
0 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 11
24.4%
3 6
13.3%
5 6
13.3%
4 5
11.1%
9 5
11.1%
6 5
11.1%
1 4
 
8.9%
8 2
 
4.4%
0 1
 
2.2%

gefilled_prog2
Text

MISSING 

Distinct2
Distinct (%)3.2%
Missing422
Missing (%)87.2%
Memory size16.8 KiB
2023-12-09T22:32:16.814209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters62
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowN
2nd rowN
3rd rowN
4th rowY
5th rowN
ValueCountFrequency (%)
n 31
50.0%
y 31
50.0%
2023-12-09T22:32:17.041090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 31
50.0%
Y 31
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 62
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 31
50.0%
Y 31
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 62
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 31
50.0%
Y 31
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 31
50.0%
Y 31
50.0%

swdfilled_prog2
Text

MISSING 

Distinct2
Distinct (%)3.2%
Missing422
Missing (%)87.2%
Memory size16.8 KiB
2023-12-09T22:32:17.150209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters62
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowN
4th rowY
5th rowY
ValueCountFrequency (%)
y 36
58.1%
n 26
41.9%
2023-12-09T22:32:17.372773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 36
58.1%
N 26
41.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 62
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 36
58.1%
N 26
41.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 62
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 36
58.1%
N 26
41.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 36
58.1%
N 26
41.9%

eligibility_prog2
Text

MISSING 

Distinct34
Distinct (%)31.8%
Missing377
Missing (%)77.9%
Memory size22.6 KiB
2023-12-09T22:32:17.625033image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length102
Median length89
Mean length45.55140187
Min length37

Characters and Unicode

Total characters4874
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)13.1%

Sample

1st rowOpen to students residing in the zone
2nd rowOpen to students and residents of District 6
3rd rowOpen to students and residents of District 6
4th rowOpen to students and residents of District 6
5th rowOpen to students residing in the zone
ValueCountFrequency (%)
students 116
13.2%
to 108
12.3%
open 107
12.2%
and 75
8.6%
of 63
 
7.2%
residents 62
 
7.1%
the 46
 
5.3%
residing 44
 
5.0%
in 44
 
5.0%
zone 44
 
5.0%
Other values (43) 167
19.1%
2023-12-09T22:32:18.039478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
769
15.8%
t 570
11.7%
n 538
11.0%
e 509
10.4%
s 459
9.4%
d 307
 
6.3%
i 306
 
6.3%
o 251
 
5.1%
r 178
 
3.7%
u 127
 
2.6%
Other values (34) 860
17.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3779
77.5%
Space Separator 769
 
15.8%
Uppercase Letter 182
 
3.7%
Decimal Number 121
 
2.5%
Other Punctuation 23
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 570
15.1%
n 538
14.2%
e 509
13.5%
s 459
12.1%
d 307
8.1%
i 306
8.1%
o 251
6.6%
r 178
 
4.7%
u 127
 
3.4%
p 107
 
2.8%
Other values (11) 427
11.3%
Decimal Number
ValueCountFrequency (%)
1 38
31.4%
2 24
19.8%
0 10
 
8.3%
5 10
 
8.3%
3 10
 
8.3%
7 9
 
7.4%
6 7
 
5.8%
8 6
 
5.0%
9 4
 
3.3%
4 3
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
O 107
58.8%
D 48
26.4%
B 10
 
5.5%
S 5
 
2.7%
Q 3
 
1.6%
P 3
 
1.6%
M 2
 
1.1%
X 2
 
1.1%
I 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 17
73.9%
, 5
 
21.7%
& 1
 
4.3%
Space Separator
ValueCountFrequency (%)
769
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3961
81.3%
Common 913
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 570
14.4%
n 538
13.6%
e 509
12.9%
s 459
11.6%
d 307
7.8%
i 306
7.7%
o 251
6.3%
r 178
 
4.5%
u 127
 
3.2%
O 107
 
2.7%
Other values (20) 609
15.4%
Common
ValueCountFrequency (%)
769
84.2%
1 38
 
4.2%
2 24
 
2.6%
. 17
 
1.9%
0 10
 
1.1%
5 10
 
1.1%
3 10
 
1.1%
7 9
 
1.0%
6 7
 
0.8%
8 6
 
0.7%
Other values (4) 13
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4874
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
769
15.8%
t 570
11.7%
n 538
11.0%
e 509
10.4%
s 459
9.4%
d 307
 
6.3%
i 306
 
6.3%
o 251
 
5.1%
r 178
 
3.7%
u 127
 
2.6%
Other values (34) 860
17.6%

priority1_prog2
Text

MISSING 

Distinct11
Distinct (%)35.5%
Missing453
Missing (%)93.6%
Memory size17.6 KiB
2023-12-09T22:32:18.301372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length100
Median length41
Mean length51.70967742
Min length41

Characters and Unicode

Total characters1603
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)29.0%

Sample

1st rowPriority to 5th grade students in P.S. 8, P.S. 153, P.S. 173, and to students residing in the zone
2nd rowPriority to 5th grade students in P.S. 5, P.S. 48, P.S. 152, and to students residing in the zone
3rd rowPriority to 5th grade students in P.S. 4, P.S. 28, and P.S. 128 and to students residing in the zone
4th rowPriority to continuing 5th grade students
5th rowPriority to continuing 5th grade students
ValueCountFrequency (%)
to 35
12.6%
students 34
12.2%
priority 31
11.2%
in 21
 
7.6%
residing 15
 
5.4%
the 15
 
5.4%
zone 15
 
5.4%
5th 13
 
4.7%
grade 13
 
4.7%
p.s 13
 
4.7%
Other values (33) 73
26.3%
2023-12-09T22:32:18.697005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
15.4%
t 195
12.2%
i 152
9.5%
n 143
8.9%
e 110
 
6.9%
s 102
 
6.4%
r 101
 
6.3%
o 101
 
6.3%
d 80
 
5.0%
P 44
 
2.7%
Other values (23) 328
20.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1205
75.2%
Space Separator 247
 
15.4%
Uppercase Letter 62
 
3.9%
Decimal Number 52
 
3.2%
Other Punctuation 37
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 195
16.2%
i 152
12.6%
n 143
11.9%
e 110
9.1%
s 102
8.5%
r 101
8.4%
o 101
8.4%
d 80
6.6%
u 44
 
3.7%
g 42
 
3.5%
Other values (8) 135
11.2%
Decimal Number
ValueCountFrequency (%)
5 16
30.8%
1 11
21.2%
8 5
 
9.6%
3 4
 
7.7%
7 4
 
7.7%
4 4
 
7.7%
2 4
 
7.7%
0 3
 
5.8%
9 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
P 44
71.0%
S 13
 
21.0%
D 5
 
8.1%
Other Punctuation
ValueCountFrequency (%)
. 26
70.3%
, 11
29.7%
Space Separator
ValueCountFrequency (%)
247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1267
79.0%
Common 336
 
21.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 195
15.4%
i 152
12.0%
n 143
11.3%
e 110
8.7%
s 102
8.1%
r 101
8.0%
o 101
8.0%
d 80
6.3%
P 44
 
3.5%
u 44
 
3.5%
Other values (11) 195
15.4%
Common
ValueCountFrequency (%)
247
73.5%
. 26
 
7.7%
5 16
 
4.8%
, 11
 
3.3%
1 11
 
3.3%
8 5
 
1.5%
3 4
 
1.2%
7 4
 
1.2%
4 4
 
1.2%
2 4
 
1.2%
Other values (2) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
15.4%
t 195
12.2%
i 152
9.5%
n 143
8.9%
e 110
 
6.9%
s 102
 
6.4%
r 101
 
6.3%
o 101
 
6.3%
d 80
 
5.0%
P 44
 
2.7%
Other values (23) 328
20.5%

priority2_prog2
Text

MISSING 

Distinct19
Distinct (%)61.3%
Missing453
Missing (%)93.6%
Memory size19.1 KiB
2023-12-09T22:32:18.936170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length126
Median length116
Mean length103.6774194
Min length46

Characters and Unicode

Total characters3214
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)41.9%

Sample

1st rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
2nd rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups.
3rd rowThen to students and residents of District 6. Last year, this program admitted students from all priority groups
4th rowThen to students residing in the zone. Last year, this program admitted students from all priority groups.
5th rowThen to students residing in the elementary school zone. Last year, this program only admitted students from priority group 1.
ValueCountFrequency (%)
students 57
 
11.1%
then 31
 
6.0%
to 31
 
6.0%
from 27
 
5.3%
priority 26
 
5.1%
last 26
 
5.1%
year 26
 
5.1%
this 26
 
5.1%
program 26
 
5.1%
admitted 26
 
5.1%
Other values (26) 211
41.1%
2023-12-09T22:32:19.329850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
484
15.1%
t 352
11.0%
s 265
 
8.2%
r 241
 
7.5%
e 227
 
7.1%
i 193
 
6.0%
o 184
 
5.7%
n 171
 
5.3%
d 162
 
5.0%
a 152
 
4.7%
Other values (26) 783
24.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2530
78.7%
Space Separator 484
 
15.1%
Other Punctuation 81
 
2.5%
Uppercase Letter 79
 
2.5%
Decimal Number 40
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 352
13.9%
s 265
10.5%
r 241
9.5%
e 227
9.0%
i 193
 
7.6%
o 184
 
7.3%
n 171
 
6.8%
d 162
 
6.4%
a 152
 
6.0%
m 84
 
3.3%
Other values (11) 499
19.7%
Decimal Number
ValueCountFrequency (%)
1 16
40.0%
2 9
22.5%
7 5
 
12.5%
8 4
 
10.0%
6 3
 
7.5%
9 1
 
2.5%
3 1
 
2.5%
0 1
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
T 31
39.2%
L 26
32.9%
D 20
25.3%
B 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 55
67.9%
, 26
32.1%
Space Separator
ValueCountFrequency (%)
484
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2609
81.2%
Common 605
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 352
13.5%
s 265
10.2%
r 241
9.2%
e 227
 
8.7%
i 193
 
7.4%
o 184
 
7.1%
n 171
 
6.6%
d 162
 
6.2%
a 152
 
5.8%
m 84
 
3.2%
Other values (15) 578
22.2%
Common
ValueCountFrequency (%)
484
80.0%
. 55
 
9.1%
, 26
 
4.3%
1 16
 
2.6%
2 9
 
1.5%
7 5
 
0.8%
8 4
 
0.7%
6 3
 
0.5%
9 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
484
15.1%
t 352
11.0%
s 265
 
8.2%
r 241
 
7.5%
e 227
 
7.1%
i 193
 
6.0%
o 184
 
5.7%
n 171
 
5.3%
d 162
 
5.0%
a 152
 
4.7%
Other values (26) 783
24.4%

priority3_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority4_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority5_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog2
Text

MISSING 

Distinct3
Distinct (%)33.3%
Missing475
Missing (%)98.1%
Memory size17.7 KiB
2023-12-09T22:32:19.550807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length255
Mean length254.6666667
Min length252

Characters and Unicode

Total characters2292
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, Participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
2nd rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
3rd rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
4th rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, Participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
5th rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, Participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
ValueCountFrequency (%)
language 45
 
15.2%
the 27
 
9.1%
target 18
 
6.1%
of 18
 
6.1%
preference 9
 
3.0%
programs 9
 
3.0%
education 9
 
3.0%
bilingual 9
 
3.0%
transitional 9
 
3.0%
and 9
 
3.0%
Other values (15) 134
45.3%
2023-12-09T22:32:19.893259image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
12.5%
e 243
 
10.6%
a 225
 
9.8%
n 171
 
7.5%
g 162
 
7.1%
t 144
 
6.3%
l 117
 
5.1%
r 117
 
5.1%
i 116
 
5.1%
s 98
 
4.3%
Other values (26) 612
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1800
78.5%
Space Separator 287
 
12.5%
Uppercase Letter 142
 
6.2%
Other Punctuation 36
 
1.6%
Dash Punctuation 9
 
0.4%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 243
13.5%
a 225
12.5%
n 171
9.5%
g 162
9.0%
t 144
8.0%
l 117
 
6.5%
r 117
 
6.5%
i 116
 
6.4%
s 98
 
5.4%
o 90
 
5.0%
Other values (11) 317
17.6%
Uppercase Letter
ValueCountFrequency (%)
L 54
38.0%
E 27
19.0%
P 16
 
11.3%
B 9
 
6.3%
T 9
 
6.3%
D 9
 
6.3%
S 9
 
6.3%
H 9
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 18
50.0%
: 9
25.0%
. 9
25.0%
Space Separator
ValueCountFrequency (%)
287
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1942
84.7%
Common 350
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 243
12.5%
a 225
11.6%
n 171
 
8.8%
g 162
 
8.3%
t 144
 
7.4%
l 117
 
6.0%
r 117
 
6.0%
i 116
 
6.0%
s 98
 
5.0%
o 90
 
4.6%
Other values (19) 459
23.6%
Common
ValueCountFrequency (%)
287
82.0%
, 18
 
5.1%
- 9
 
2.6%
: 9
 
2.6%
) 9
 
2.6%
( 9
 
2.6%
. 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
12.5%
e 243
 
10.6%
a 225
 
9.8%
n 171
 
7.5%
g 162
 
7.1%
t 144
 
6.3%
l 117
 
5.1%
r 117
 
5.1%
i 116
 
5.1%
s 98
 
4.3%
Other values (26) 612
26.7%

lowestpriority_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB
Distinct10
Distinct (%)14.5%
Missing415
Missing (%)85.7%
Memory size21.1 KiB
2023-12-09T22:32:20.166398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length120
Median length110
Mean length61.65217391
Min length10

Characters and Unicode

Total characters4254
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
2nd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
3rd rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
4th rowStudents who apply to this program will be randomly selected
5th rowStudents who apply to this program will be randomly selected
ValueCountFrequency (%)
the 42
 
6.0%
students 41
 
5.9%
apply 41
 
5.9%
to 41
 
5.9%
will 41
 
5.9%
be 41
 
5.9%
selected 41
 
5.9%
who 41
 
5.9%
this 39
 
5.6%
program 39
 
5.6%
Other values (45) 293
41.9%
2023-12-09T22:32:20.556060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
631
14.8%
e 410
 
9.6%
t 339
 
8.0%
o 297
 
7.0%
r 261
 
6.1%
l 247
 
5.8%
a 224
 
5.3%
s 204
 
4.8%
d 199
 
4.7%
i 196
 
4.6%
Other values (38) 1246
29.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3477
81.7%
Space Separator 631
 
14.8%
Uppercase Letter 121
 
2.8%
Other Punctuation 16
 
0.4%
Decimal Number 7
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 410
11.8%
t 339
 
9.7%
o 297
 
8.5%
r 261
 
7.5%
l 247
 
7.1%
a 224
 
6.4%
s 204
 
5.9%
d 199
 
5.7%
i 196
 
5.6%
p 171
 
4.9%
Other values (13) 929
26.7%
Uppercase Letter
ValueCountFrequency (%)
S 46
38.0%
A 26
21.5%
P 12
 
9.9%
B 10
 
8.3%
L 7
 
5.8%
E 4
 
3.3%
T 4
 
3.3%
X 4
 
3.3%
H 2
 
1.7%
D 2
 
1.7%
Other values (4) 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
. 7
43.8%
, 4
25.0%
: 2
 
12.5%
% 2
 
12.5%
& 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
2 2
28.6%
5 2
28.6%
4 1
14.3%
Space Separator
ValueCountFrequency (%)
631
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3598
84.6%
Common 656
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 410
 
11.4%
t 339
 
9.4%
o 297
 
8.3%
r 261
 
7.3%
l 247
 
6.9%
a 224
 
6.2%
s 204
 
5.7%
d 199
 
5.5%
i 196
 
5.4%
p 171
 
4.8%
Other values (27) 1050
29.2%
Common
ValueCountFrequency (%)
631
96.2%
. 7
 
1.1%
, 4
 
0.6%
1 2
 
0.3%
2 2
 
0.3%
- 2
 
0.3%
: 2
 
0.3%
5 2
 
0.3%
% 2
 
0.3%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
631
14.8%
e 410
 
9.6%
t 339
 
8.0%
o 297
 
7.0%
r 261
 
6.1%
l 247
 
5.8%
a 224
 
5.3%
s 204
 
4.8%
d 199
 
4.7%
i 196
 
4.6%
Other values (38) 1246
29.3%
Distinct9
Distinct (%)34.6%
Missing458
Missing (%)94.6%
Memory size16.4 KiB
2023-12-09T22:32:20.763750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length39
Median length32
Mean length19.92307692
Min length8

Characters and Unicode

Total characters518
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st rowFinal 4th Grade Report Card
2nd rowFinal 4th Grade Report Card: 45%
3rd rowLanguage Proficiency Assessment
4th rowCourse Grade Average
5th rowAttendance at an Open House/School Tour
ValueCountFrequency (%)
attendance 12
15.2%
grade 10
12.7%
4th 9
11.4%
report 9
11.4%
card 9
11.4%
final 9
11.4%
house/school 2
 
2.5%
assessment 2
 
2.5%
45 2
 
2.5%
tour 2
 
2.5%
Other values (10) 13
16.5%
2023-12-09T22:32:21.104043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 56
 
10.8%
53
 
10.2%
t 49
 
9.5%
a 48
 
9.3%
n 43
 
8.3%
r 33
 
6.4%
d 32
 
6.2%
o 22
 
4.2%
c 18
 
3.5%
A 16
 
3.1%
Other values (26) 148
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 380
73.4%
Uppercase Letter 66
 
12.7%
Space Separator 53
 
10.2%
Decimal Number 13
 
2.5%
Other Punctuation 6
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 56
14.7%
t 49
12.9%
a 48
12.6%
n 43
11.3%
r 33
8.7%
d 32
8.4%
o 22
 
5.8%
c 18
 
4.7%
i 14
 
3.7%
l 13
 
3.4%
Other values (9) 52
13.7%
Uppercase Letter
ValueCountFrequency (%)
A 16
24.2%
C 10
15.2%
G 10
15.2%
R 9
13.6%
F 9
13.6%
S 3
 
4.5%
P 2
 
3.0%
T 2
 
3.0%
H 2
 
3.0%
O 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
% 2
33.3%
: 2
33.3%
/ 2
33.3%
Decimal Number
ValueCountFrequency (%)
4 11
84.6%
5 2
 
15.4%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 446
86.1%
Common 72
 
13.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 56
12.6%
t 49
11.0%
a 48
10.8%
n 43
 
9.6%
r 33
 
7.4%
d 32
 
7.2%
o 22
 
4.9%
c 18
 
4.0%
A 16
 
3.6%
i 14
 
3.1%
Other values (20) 115
25.8%
Common
ValueCountFrequency (%)
53
73.6%
4 11
 
15.3%
% 2
 
2.8%
: 2
 
2.8%
5 2
 
2.8%
/ 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 56
 
10.8%
53
 
10.2%
t 49
 
9.5%
a 48
 
9.3%
n 43
 
8.3%
r 33
 
6.4%
d 32
 
6.2%
o 22
 
4.2%
c 18
 
3.5%
A 16
 
3.1%
Other values (26) 148
28.6%
Distinct11
Distinct (%)42.3%
Missing458
Missing (%)94.6%
Memory size16.6 KiB
2023-12-09T22:32:21.332621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length86
Median length37.5
Mean length26.65384615
Min length8

Characters and Unicode

Total characters693
Distinct characters49
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)26.9%

Sample

1st rowEntrance Exam: Interview, Talent Screening, Writing Prompt, and General Knowledge Test
2nd rowNew York State Math Exam: 22.5%
3rd rowPunctuality
4th rowPunctuality
5th rowFinal 4th Grade Report Card
ValueCountFrequency (%)
grade 15
12.6%
4th 14
 
11.8%
final 11
 
9.2%
report 10
 
8.4%
card 10
 
8.4%
ela 6
 
5.0%
state 5
 
4.2%
math 4
 
3.4%
and 4
 
3.4%
exam 4
 
3.4%
Other values (21) 36
30.3%
2023-12-09T22:32:21.743204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
13.6%
a 67
 
9.7%
t 57
 
8.2%
e 51
 
7.4%
r 49
 
7.1%
n 35
 
5.1%
d 33
 
4.8%
i 27
 
3.9%
o 22
 
3.2%
l 19
 
2.7%
Other values (39) 239
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 457
65.9%
Uppercase Letter 112
 
16.2%
Space Separator 94
 
13.6%
Decimal Number 20
 
2.9%
Other Punctuation 10
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 67
14.7%
t 57
12.5%
e 51
11.2%
r 49
10.7%
n 35
7.7%
d 33
7.2%
i 27
 
5.9%
o 22
 
4.8%
l 19
 
4.2%
h 18
 
3.9%
Other values (12) 79
17.3%
Uppercase Letter
ValueCountFrequency (%)
G 16
14.3%
E 15
13.4%
F 11
9.8%
C 11
9.8%
R 10
8.9%
A 9
8.0%
L 7
6.2%
P 6
 
5.4%
S 6
 
5.4%
N 5
 
4.5%
Other values (7) 16
14.3%
Decimal Number
ValueCountFrequency (%)
4 14
70.0%
2 2
 
10.0%
5 2
 
10.0%
7 1
 
5.0%
1 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 3
30.0%
, 3
30.0%
% 2
20.0%
. 2
20.0%
Space Separator
ValueCountFrequency (%)
94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 569
82.1%
Common 124
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 67
 
11.8%
t 57
 
10.0%
e 51
 
9.0%
r 49
 
8.6%
n 35
 
6.2%
d 33
 
5.8%
i 27
 
4.7%
o 22
 
3.9%
l 19
 
3.3%
h 18
 
3.2%
Other values (29) 191
33.6%
Common
ValueCountFrequency (%)
94
75.8%
4 14
 
11.3%
: 3
 
2.4%
, 3
 
2.4%
% 2
 
1.6%
2 2
 
1.6%
5 2
 
1.6%
. 2
 
1.6%
7 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
 
13.6%
a 67
 
9.7%
t 57
 
8.2%
e 51
 
7.4%
r 49
 
7.1%
n 35
 
5.1%
d 33
 
4.8%
i 27
 
3.9%
o 22
 
3.2%
l 19
 
2.7%
Other values (39) 239
34.5%
Distinct10
Distinct (%)41.7%
Missing460
Missing (%)95.0%
Memory size16.4 KiB
2023-12-09T22:32:21.971336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length31
Mean length24.41666667
Min length9

Characters and Unicode

Total characters586
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)25.0%

Sample

1st rowPunctuality
2nd rowNew York State ELA Exam: 22.5%
3rd rowStandardized Test Score: ELA
4th rowStandardized Test Score Average
5th rowPunctuality
ValueCountFrequency (%)
grade 11
 
10.7%
4th 10
 
9.7%
new 7
 
6.8%
york 7
 
6.8%
state 7
 
6.8%
ela 7
 
6.8%
math 7
 
6.8%
punctuality 6
 
5.8%
and 5
 
4.9%
exams 5
 
4.9%
Other values (15) 31
30.1%
2023-12-09T22:32:22.320734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
13.5%
a 58
 
9.9%
t 54
 
9.2%
e 44
 
7.5%
r 35
 
6.0%
d 26
 
4.4%
n 23
 
3.9%
h 18
 
3.1%
i 17
 
2.9%
o 17
 
2.9%
Other values (36) 215
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 385
65.7%
Uppercase Letter 99
 
16.9%
Space Separator 79
 
13.5%
Decimal Number 16
 
2.7%
Other Punctuation 7
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 58
15.1%
t 54
14.0%
e 44
11.4%
r 35
9.1%
d 26
 
6.8%
n 23
 
6.0%
h 18
 
4.7%
i 17
 
4.4%
o 17
 
4.4%
u 13
 
3.4%
Other values (13) 80
20.8%
Uppercase Letter
ValueCountFrequency (%)
E 14
14.1%
S 12
12.1%
G 11
11.1%
A 8
8.1%
M 7
7.1%
L 7
7.1%
Y 7
7.1%
N 7
7.1%
P 6
 
6.1%
R 5
 
5.1%
Other values (4) 15
15.2%
Decimal Number
ValueCountFrequency (%)
4 10
62.5%
2 2
 
12.5%
5 2
 
12.5%
1 1
 
6.2%
7 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
: 3
42.9%
. 2
28.6%
% 2
28.6%
Space Separator
ValueCountFrequency (%)
79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 484
82.6%
Common 102
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 58
 
12.0%
t 54
 
11.2%
e 44
 
9.1%
r 35
 
7.2%
d 26
 
5.4%
n 23
 
4.8%
h 18
 
3.7%
i 17
 
3.5%
o 17
 
3.5%
E 14
 
2.9%
Other values (27) 178
36.8%
Common
ValueCountFrequency (%)
79
77.5%
4 10
 
9.8%
: 3
 
2.9%
2 2
 
2.0%
. 2
 
2.0%
5 2
 
2.0%
% 2
 
2.0%
1 1
 
1.0%
7 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 586
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
 
13.5%
a 58
 
9.9%
t 54
 
9.2%
e 44
 
7.5%
r 35
 
6.0%
d 26
 
4.4%
n 23
 
3.9%
h 18
 
3.1%
i 17
 
2.9%
o 17
 
2.9%
Other values (36) 215
36.7%
Distinct15
Distinct (%)78.9%
Missing465
Missing (%)96.1%
Memory size16.2 KiB
2023-12-09T22:32:22.574479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length29
Mean length27.15789474
Min length9

Characters and Unicode

Total characters516
Distinct characters45
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)68.4%

Sample

1st row4th Grade New York State ELA and Math Exams
2nd rowPunctuality: 5%
3rd rowStandardized Test Score: Math
4th rowNative Language Assessment
5th row4th Grade New York State ELA and Math Exams
ValueCountFrequency (%)
math 8
 
9.0%
ela 7
 
7.9%
and 7
 
7.9%
4th 6
 
6.7%
new 6
 
6.7%
york 6
 
6.7%
state 6
 
6.7%
grade 6
 
6.7%
exams 5
 
5.6%
punctuality 3
 
3.4%
Other values (24) 29
32.6%
2023-12-09T22:32:22.955888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
13.6%
a 52
 
10.1%
t 45
 
8.7%
e 39
 
7.6%
n 27
 
5.2%
s 21
 
4.1%
r 21
 
4.1%
d 18
 
3.5%
E 17
 
3.3%
o 17
 
3.3%
Other values (35) 189
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 344
66.7%
Uppercase Letter 87
 
16.9%
Space Separator 70
 
13.6%
Decimal Number 9
 
1.7%
Other Punctuation 5
 
1.0%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 52
15.1%
t 45
13.1%
e 39
11.3%
n 27
 
7.8%
s 21
 
6.1%
r 21
 
6.1%
d 18
 
5.2%
o 17
 
4.9%
h 17
 
4.9%
i 12
 
3.5%
Other values (13) 75
21.8%
Uppercase Letter
ValueCountFrequency (%)
E 17
19.5%
S 12
13.8%
A 11
12.6%
L 9
10.3%
M 8
9.2%
N 7
8.0%
G 6
 
6.9%
Y 6
 
6.9%
P 5
 
5.7%
B 1
 
1.1%
Other values (5) 5
 
5.7%
Decimal Number
ValueCountFrequency (%)
4 6
66.7%
5 2
 
22.2%
1 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
: 3
60.0%
% 2
40.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 431
83.5%
Common 85
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 52
 
12.1%
t 45
 
10.4%
e 39
 
9.0%
n 27
 
6.3%
s 21
 
4.9%
r 21
 
4.9%
d 18
 
4.2%
E 17
 
3.9%
o 17
 
3.9%
h 17
 
3.9%
Other values (28) 157
36.4%
Common
ValueCountFrequency (%)
70
82.4%
4 6
 
7.1%
: 3
 
3.5%
% 2
 
2.4%
5 2
 
2.4%
1 1
 
1.2%
- 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
 
13.6%
a 52
 
10.1%
t 45
 
8.7%
e 39
 
7.6%
n 27
 
5.2%
s 21
 
4.1%
r 21
 
4.1%
d 18
 
3.5%
E 17
 
3.3%
o 17
 
3.3%
Other values (35) 189
36.6%

selectioncriteria6_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria7_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog2
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)33.3%
Missing481
Missing (%)99.4%
Memory size16.2 KiB
2023-12-09T22:32:23.181156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length136
Median length136
Mean length136
Min length136

Characters and Unicode

Total characters408
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThis program will see where you rank it on your child’s application; this influences how the program evaluates your child’s application.
2nd rowThis program will see where you rank it on your child’s application; this influences how the program evaluates your child’s application.
3rd rowThis program will see where you rank it on your child’s application; this influences how the program evaluates your child’s application.
ValueCountFrequency (%)
this 6
 
9.5%
program 6
 
9.5%
your 6
 
9.5%
child’s 6
 
9.5%
application 6
 
9.5%
will 3
 
4.8%
see 3
 
4.8%
where 3
 
4.8%
you 3
 
4.8%
rank 3
 
4.8%
Other values (6) 18
28.6%
2023-12-09T22:32:23.526347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
14.7%
i 33
 
8.1%
e 27
 
6.6%
o 27
 
6.6%
a 27
 
6.6%
r 24
 
5.9%
l 24
 
5.9%
s 21
 
5.1%
h 21
 
5.1%
p 18
 
4.4%
Other values (16) 126
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 333
81.6%
Space Separator 60
 
14.7%
Final Punctuation 6
 
1.5%
Other Punctuation 6
 
1.5%
Uppercase Letter 3
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 33
 
9.9%
e 27
 
8.1%
o 27
 
8.1%
a 27
 
8.1%
r 24
 
7.2%
l 24
 
7.2%
s 21
 
6.3%
h 21
 
6.3%
p 18
 
5.4%
t 18
 
5.4%
Other values (11) 93
27.9%
Other Punctuation
ValueCountFrequency (%)
; 3
50.0%
. 3
50.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 336
82.4%
Common 72
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 33
 
9.8%
e 27
 
8.0%
o 27
 
8.0%
a 27
 
8.0%
r 24
 
7.1%
l 24
 
7.1%
s 21
 
6.2%
h 21
 
6.2%
p 18
 
5.4%
t 18
 
5.4%
Other values (12) 96
28.6%
Common
ValueCountFrequency (%)
60
83.3%
6
 
8.3%
; 3
 
4.2%
. 3
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402
98.5%
Punctuation 6
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
14.9%
i 33
 
8.2%
e 27
 
6.7%
o 27
 
6.7%
a 27
 
6.7%
r 24
 
6.0%
l 24
 
6.0%
s 21
 
5.2%
h 21
 
5.2%
p 18
 
4.5%
Other values (15) 120
29.9%
Punctuation
ValueCountFrequency (%)
6
100.0%

code_prog3
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing455
Missing (%)94.0%
Memory size16.1 KiB
2023-12-09T22:32:23.787781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters145
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowK180Z
2nd rowK187D
3rd rowK220U
4th rowK223Z
5th rowK228P
ValueCountFrequency (%)
x390z 1
 
3.4%
x368z 1
 
3.4%
x118z 1
 
3.4%
m131p 1
 
3.4%
k223z 1
 
3.4%
r027z 1
 
3.4%
x127z 1
 
3.4%
k218z 1
 
3.4%
q126z 1
 
3.4%
k068u 1
 
3.4%
Other values (19) 19
65.5%
2023-12-09T22:32:24.153170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
13.8%
Z 16
11.0%
0 14
9.7%
2 13
9.0%
8 13
9.0%
K 12
8.3%
X 9
 
6.2%
3 7
 
4.8%
U 6
 
4.1%
4 6
 
4.1%
Other values (11) 29
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
60.0%
Uppercase Letter 58
40.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Z 16
27.6%
K 12
20.7%
X 9
15.5%
U 6
 
10.3%
Q 5
 
8.6%
R 3
 
5.2%
P 2
 
3.4%
M 2
 
3.4%
W 1
 
1.7%
S 1
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 20
23.0%
0 14
16.1%
2 13
14.9%
8 13
14.9%
3 7
 
8.0%
4 6
 
6.9%
6 5
 
5.7%
7 5
 
5.7%
9 2
 
2.3%
5 2
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
Common 87
60.0%
Latin 58
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Z 16
27.6%
K 12
20.7%
X 9
15.5%
U 6
 
10.3%
Q 5
 
8.6%
R 3
 
5.2%
P 2
 
3.4%
M 2
 
3.4%
W 1
 
1.7%
S 1
 
1.7%
Common
ValueCountFrequency (%)
1 20
23.0%
0 14
16.1%
2 13
14.9%
8 13
14.9%
3 7
 
8.0%
4 6
 
6.9%
6 5
 
5.7%
7 5
 
5.7%
9 2
 
2.3%
5 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
13.8%
Z 16
11.0%
0 14
9.7%
2 13
9.0%
8 13
9.0%
K 12
8.3%
X 9
 
6.2%
3 7
 
4.8%
U 6
 
4.1%
4 6
 
4.1%
Other values (11) 29
20.0%

name_prog3
Text

MISSING 

Distinct26
Distinct (%)89.7%
Missing455
Missing (%)94.0%
Memory size16.9 KiB
2023-12-09T22:32:24.471884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length81
Median length37
Mean length33.17241379
Min length7

Characters and Unicode

Total characters962
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)86.2%

Sample

1st rowThe SEEALL Academy Zoned Program
2nd rowAcademy for Business and Law
3rd rowFederal Magnet Program
4th rowZoned Program
5th rowDavid A. Boody (I.S. 228): Spanish Dual Language Program
ValueCountFrequency (%)
program 18
 
11.7%
zoned 16
 
10.4%
i.s 9
 
5.8%
the 6
 
3.9%
academy 5
 
3.2%
for 4
 
2.6%
school 3
 
1.9%
m.s 3
 
1.9%
and 3
 
1.9%
dual 3
 
1.9%
Other values (72) 84
54.5%
2023-12-09T22:32:24.937669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
13.0%
e 74
 
7.7%
a 64
 
6.7%
o 63
 
6.5%
r 56
 
5.8%
n 48
 
5.0%
. 39
 
4.1%
d 37
 
3.8%
l 36
 
3.7%
m 28
 
2.9%
Other values (49) 392
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 574
59.7%
Uppercase Letter 152
 
15.8%
Space Separator 125
 
13.0%
Decimal Number 46
 
4.8%
Other Punctuation 43
 
4.5%
Open Punctuation 11
 
1.1%
Close Punctuation 11
 
1.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 74
12.9%
a 64
11.1%
o 63
11.0%
r 56
9.8%
n 48
8.4%
d 37
 
6.4%
l 36
 
6.3%
m 28
 
4.9%
g 27
 
4.7%
i 24
 
4.2%
Other values (13) 117
20.4%
Uppercase Letter
ValueCountFrequency (%)
S 25
16.4%
P 20
13.2%
Z 16
10.5%
I 11
 
7.2%
A 10
 
6.6%
D 8
 
5.3%
C 7
 
4.6%
M 7
 
4.6%
L 7
 
4.6%
H 6
 
3.9%
Other values (10) 35
23.0%
Decimal Number
ValueCountFrequency (%)
1 12
26.1%
8 10
21.7%
2 6
13.0%
3 5
10.9%
0 4
 
8.7%
7 2
 
4.3%
6 2
 
4.3%
5 2
 
4.3%
9 2
 
4.3%
4 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 39
90.7%
: 3
 
7.0%
& 1
 
2.3%
Space Separator
ValueCountFrequency (%)
125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 726
75.5%
Common 236
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 74
 
10.2%
a 64
 
8.8%
o 63
 
8.7%
r 56
 
7.7%
n 48
 
6.6%
d 37
 
5.1%
l 36
 
5.0%
m 28
 
3.9%
g 27
 
3.7%
S 25
 
3.4%
Other values (33) 268
36.9%
Common
ValueCountFrequency (%)
125
53.0%
. 39
 
16.5%
1 12
 
5.1%
( 11
 
4.7%
) 11
 
4.7%
8 10
 
4.2%
2 6
 
2.5%
3 5
 
2.1%
0 4
 
1.7%
: 3
 
1.3%
Other values (6) 10
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
 
13.0%
e 74
 
7.7%
a 64
 
6.7%
o 63
 
6.5%
r 56
 
5.8%
n 48
 
5.0%
. 39
 
4.1%
d 37
 
3.8%
l 36
 
3.7%
m 28
 
2.9%
Other values (49) 392
40.7%
Distinct5
Distinct (%)17.2%
Missing455
Missing (%)94.0%
Memory size16.2 KiB
2023-12-09T22:32:25.113636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length5
Mean length8.103448276
Min length5

Characters and Unicode

Total characters235
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st rowZoned
2nd rowComposite Score
3rd rowUnscreened
4th rowZoned
5th rowScreened: Language
ValueCountFrequency (%)
zoned 16
48.5%
unscreened 7
21.2%
screened 5
 
15.2%
language 3
 
9.1%
composite 1
 
3.0%
score 1
 
3.0%
2023-12-09T22:32:25.409132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 57
24.3%
n 38
16.2%
d 28
11.9%
o 19
 
8.1%
Z 16
 
6.8%
c 13
 
5.5%
r 13
 
5.5%
s 8
 
3.4%
U 7
 
3.0%
g 6
 
2.6%
Other values (11) 30
12.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 195
83.0%
Uppercase Letter 33
 
14.0%
Space Separator 4
 
1.7%
Other Punctuation 3
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 57
29.2%
n 38
19.5%
d 28
14.4%
o 19
 
9.7%
c 13
 
6.7%
r 13
 
6.7%
s 8
 
4.1%
g 6
 
3.1%
a 6
 
3.1%
u 3
 
1.5%
Other values (4) 4
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
Z 16
48.5%
U 7
21.2%
S 6
 
18.2%
L 3
 
9.1%
C 1
 
3.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 228
97.0%
Common 7
 
3.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 57
25.0%
n 38
16.7%
d 28
12.3%
o 19
 
8.3%
Z 16
 
7.0%
c 13
 
5.7%
r 13
 
5.7%
s 8
 
3.5%
U 7
 
3.1%
g 6
 
2.6%
Other values (9) 23
10.1%
Common
ValueCountFrequency (%)
4
57.1%
: 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 57
24.3%
n 38
16.2%
d 28
11.9%
o 19
 
8.1%
Z 16
 
6.8%
c 13
 
5.5%
r 13
 
5.5%
s 8
 
3.4%
U 7
 
3.0%
g 6
 
2.6%
Other values (11) 30
12.8%

geapps_prog3
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing477
Missing (%)98.6%
Memory size15.4 KiB
2023-12-09T22:32:25.605551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.142857143
Min length3

Characters and Unicode

Total characters22
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row1142
2nd row183
3rd row336
4th row495
5th row116
ValueCountFrequency (%)
272 1
14.3%
495 1
14.3%
183 1
14.3%
116 1
14.3%
336 1
14.3%
274 1
14.3%
1142 1
14.3%
2023-12-09T22:32:25.926362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
4 3
13.6%
3 3
13.6%
7 2
 
9.1%
6 2
 
9.1%
9 1
 
4.5%
5 1
 
4.5%
8 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
4 3
13.6%
3 3
13.6%
7 2
 
9.1%
6 2
 
9.1%
9 1
 
4.5%
5 1
 
4.5%
8 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
4 3
13.6%
3 3
13.6%
7 2
 
9.1%
6 2
 
9.1%
9 1
 
4.5%
5 1
 
4.5%
8 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
22.7%
2 4
18.2%
4 3
13.6%
3 3
13.6%
7 2
 
9.1%
6 2
 
9.1%
9 1
 
4.5%
5 1
 
4.5%
8 1
 
4.5%

swdapps_prog3
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing477
Missing (%)98.6%
Memory size15.4 KiB
2023-12-09T22:32:26.118890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.142857143
Min length2

Characters and Unicode

Total characters15
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row59
2nd row50
3rd row62
4th row111
5th row29
ValueCountFrequency (%)
51 1
14.3%
53 1
14.3%
59 1
14.3%
29 1
14.3%
50 1
14.3%
111 1
14.3%
62 1
14.3%
2023-12-09T22:32:26.428986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4
26.7%
1 4
26.7%
9 2
13.3%
2 2
13.3%
3 1
 
6.7%
0 1
 
6.7%
6 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4
26.7%
1 4
26.7%
9 2
13.3%
2 2
13.3%
3 1
 
6.7%
0 1
 
6.7%
6 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Common 15
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4
26.7%
1 4
26.7%
9 2
13.3%
2 2
13.3%
3 1
 
6.7%
0 1
 
6.7%
6 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4
26.7%
1 4
26.7%
9 2
13.3%
2 2
13.3%
3 1
 
6.7%
0 1
 
6.7%
6 1
 
6.7%

geappsperseat_prog3
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing477
Missing (%)98.6%
Memory size15.4 KiB
2023-12-09T22:32:26.588814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.428571429
Min length1

Characters and Unicode

Total characters10
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st row10
2nd row2
3rd row10
4th row4
5th row2
ValueCountFrequency (%)
10 2
28.6%
2 2
28.6%
3 1
14.3%
11 1
14.3%
4 1
14.3%
2023-12-09T22:32:26.858409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4
40.0%
0 2
20.0%
2 2
20.0%
3 1
 
10.0%
4 1
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 4
40.0%
0 2
20.0%
2 2
20.0%
3 1
 
10.0%
4 1
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 4
40.0%
0 2
20.0%
2 2
20.0%
3 1
 
10.0%
4 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 4
40.0%
0 2
20.0%
2 2
20.0%
3 1
 
10.0%
4 1
 
10.0%

swdappsperseat_prog3
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing477
Missing (%)98.6%
Memory size15.4 KiB
2023-12-09T22:32:26.975203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row4
2nd row5
3rd row9
4th row2
5th row2
ValueCountFrequency (%)
2 3
42.9%
9 2
28.6%
4 1
 
14.3%
5 1
 
14.3%
2023-12-09T22:32:27.200578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3
42.9%
9 2
28.6%
4 1
 
14.3%
5 1
 
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3
42.9%
9 2
28.6%
4 1
 
14.3%
5 1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3
42.9%
9 2
28.6%
4 1
 
14.3%
5 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3
42.9%
9 2
28.6%
4 1
 
14.3%
5 1
 
14.3%

swdseats_prog3
Text

MISSING 

Distinct11
Distinct (%)84.6%
Missing471
Missing (%)97.3%
Memory size15.6 KiB
2023-12-09T22:32:27.377257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.846153846
Min length1

Characters and Unicode

Total characters24
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)69.2%

Sample

1st row15
2nd row11
3rd row7
4th row47
5th row12
ValueCountFrequency (%)
6 2
15.4%
11 2
15.4%
14 1
7.7%
12 1
7.7%
109 1
7.7%
15 1
7.7%
7 1
7.7%
47 1
7.7%
18 1
7.7%
29 1
7.7%
2023-12-09T22:32:27.690601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 9
37.5%
2 4
16.7%
6 2
 
8.3%
4 2
 
8.3%
9 2
 
8.3%
7 2
 
8.3%
0 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
37.5%
2 4
16.7%
6 2
 
8.3%
4 2
 
8.3%
9 2
 
8.3%
7 2
 
8.3%
0 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Common 24
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9
37.5%
2 4
16.7%
6 2
 
8.3%
4 2
 
8.3%
9 2
 
8.3%
7 2
 
8.3%
0 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 9
37.5%
2 4
16.7%
6 2
 
8.3%
4 2
 
8.3%
9 2
 
8.3%
7 2
 
8.3%
0 1
 
4.2%
5 1
 
4.2%
8 1
 
4.2%

geseats_prog3
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing471
Missing (%)97.3%
Memory size15.6 KiB
2023-12-09T22:32:27.894599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.384615385
Min length2

Characters and Unicode

Total characters31
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row114
2nd row79
3rd row33
4th row123
5th row48
ValueCountFrequency (%)
48 1
 
7.7%
49 1
 
7.7%
140 1
 
7.7%
114 1
 
7.7%
75 1
 
7.7%
123 1
 
7.7%
358 1
 
7.7%
33 1
 
7.7%
106 1
 
7.7%
93 1
 
7.7%
Other values (3) 3
23.1%
2023-12-09T22:32:28.217624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
19.4%
4 5
16.1%
3 5
16.1%
9 3
9.7%
2 3
9.7%
8 2
 
6.5%
0 2
 
6.5%
7 2
 
6.5%
5 2
 
6.5%
6 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
19.4%
4 5
16.1%
3 5
16.1%
9 3
9.7%
2 3
9.7%
8 2
 
6.5%
0 2
 
6.5%
7 2
 
6.5%
5 2
 
6.5%
6 1
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
19.4%
4 5
16.1%
3 5
16.1%
9 3
9.7%
2 3
9.7%
8 2
 
6.5%
0 2
 
6.5%
7 2
 
6.5%
5 2
 
6.5%
6 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
19.4%
4 5
16.1%
3 5
16.1%
9 3
9.7%
2 3
9.7%
8 2
 
6.5%
0 2
 
6.5%
7 2
 
6.5%
5 2
 
6.5%
6 1
 
3.2%

gefilled_prog3
Text

MISSING 

Distinct2
Distinct (%)16.7%
Missing472
Missing (%)97.5%
Memory size15.6 KiB
2023-12-09T22:32:28.331818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters12
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowN
ValueCountFrequency (%)
y 7
58.3%
n 5
41.7%
2023-12-09T22:32:28.556149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 12
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

swdfilled_prog3
Text

MISSING 

Distinct2
Distinct (%)16.7%
Missing472
Missing (%)97.5%
Memory size15.6 KiB
2023-12-09T22:32:28.664664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters12
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowY
3rd rowY
4th rowY
5th rowN
ValueCountFrequency (%)
y 7
58.3%
n 5
41.7%
2023-12-09T22:32:28.892794image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 12
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 12
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Y 7
58.3%
N 5
41.7%

eligibility_prog3
Text

MISSING 

Distinct14
Distinct (%)48.3%
Missing455
Missing (%)94.0%
Memory size17.2 KiB
2023-12-09T22:32:29.107010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length89
Median length46
Mean length42.55172414
Min length37

Characters and Unicode

Total characters1234
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)37.9%

Sample

1st rowOpen to continuing 5th grade students and students residing in the elementary school zone
2nd rowOpen to students and residents of District 20
3rd rowOpen to students and residents of District 20
4th rowOpen to students residing in the zone
5th rowOpen to students and residents of Brooklyn
ValueCountFrequency (%)
students 30
13.5%
open 29
13.1%
to 29
13.1%
residing 16
7.2%
in 16
7.2%
the 16
7.2%
zone 16
7.2%
and 14
6.3%
residents 13
5.9%
of 13
5.9%
Other values (18) 30
13.5%
2023-12-09T22:32:29.458959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
15.6%
t 143
11.6%
n 142
11.5%
e 139
11.3%
s 114
9.2%
i 83
 
6.7%
d 74
 
6.0%
o 63
 
5.1%
r 42
 
3.4%
u 32
 
2.6%
Other values (27) 209
16.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 965
78.2%
Space Separator 193
 
15.6%
Uppercase Letter 44
 
3.6%
Decimal Number 31
 
2.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 143
14.8%
n 142
14.7%
e 139
14.4%
s 114
11.8%
i 83
8.6%
d 74
7.7%
o 63
6.5%
r 42
 
4.4%
u 32
 
3.3%
p 29
 
3.0%
Other values (10) 104
10.8%
Decimal Number
ValueCountFrequency (%)
1 15
48.4%
0 4
 
12.9%
2 3
 
9.7%
3 2
 
6.5%
8 2
 
6.5%
5 2
 
6.5%
4 1
 
3.2%
6 1
 
3.2%
7 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
O 29
65.9%
D 10
 
22.7%
X 2
 
4.5%
M 1
 
2.3%
B 1
 
2.3%
Q 1
 
2.3%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1009
81.8%
Common 225
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 143
14.2%
n 142
14.1%
e 139
13.8%
s 114
11.3%
i 83
8.2%
d 74
7.3%
o 63
6.2%
r 42
 
4.2%
u 32
 
3.2%
O 29
 
2.9%
Other values (16) 148
14.7%
Common
ValueCountFrequency (%)
193
85.8%
1 15
 
6.7%
0 4
 
1.8%
2 3
 
1.3%
3 2
 
0.9%
8 2
 
0.9%
5 2
 
0.9%
. 1
 
0.4%
4 1
 
0.4%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
15.6%
t 143
11.6%
n 142
11.5%
e 139
11.3%
s 114
9.2%
i 83
 
6.7%
d 74
 
6.0%
o 63
 
5.1%
r 42
 
3.4%
u 32
 
2.6%
Other values (27) 209
16.9%

priority1_prog3
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.4 KiB
2023-12-09T22:32:29.648887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length41
Median length41
Mean length41
Min length41

Characters and Unicode

Total characters82
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowPriority to continuing 5th grade students
2nd rowPriority to students residing in the zone
ValueCountFrequency (%)
priority 2
15.4%
to 2
15.4%
students 2
15.4%
residing 1
7.7%
in 1
7.7%
the 1
7.7%
zone 1
7.7%
continuing 1
7.7%
5th 1
7.7%
grade 1
7.7%
2023-12-09T22:32:29.948601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 11
13.4%
11
13.4%
i 9
11.0%
n 8
9.8%
o 6
7.3%
r 6
7.3%
e 6
7.3%
s 5
 
6.1%
d 4
 
4.9%
g 3
 
3.7%
Other values (8) 13
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 68
82.9%
Space Separator 11
 
13.4%
Uppercase Letter 2
 
2.4%
Decimal Number 1
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 11
16.2%
i 9
13.2%
n 8
11.8%
o 6
8.8%
r 6
8.8%
e 6
8.8%
s 5
7.4%
d 4
 
5.9%
g 3
 
4.4%
u 3
 
4.4%
Other values (5) 7
10.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 70
85.4%
Common 12
 
14.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 11
15.7%
i 9
12.9%
n 8
11.4%
o 6
8.6%
r 6
8.6%
e 6
8.6%
s 5
7.1%
d 4
 
5.7%
g 3
 
4.3%
u 3
 
4.3%
Other values (6) 9
12.9%
Common
ValueCountFrequency (%)
11
91.7%
5 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 11
13.4%
11
13.4%
i 9
11.0%
n 8
9.8%
o 6
7.3%
r 6
7.3%
e 6
7.3%
s 5
 
6.1%
d 4
 
4.9%
g 3
 
3.7%
Other values (8) 13
15.9%

priority2_prog3
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.5 KiB
2023-12-09T22:32:30.158681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length124
Median length119
Mean length119
Min length114

Characters and Unicode

Total characters238
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowThen to students residing in the elementary school zone. Last year, this program admitted students from all priority groups.
2nd rowThen to students and residents of District 21. Last year, this program admitted students from all priority groups.
ValueCountFrequency (%)
students 4
 
10.8%
then 2
 
5.4%
year 2
 
5.4%
groups 2
 
5.4%
priority 2
 
5.4%
all 2
 
5.4%
from 2
 
5.4%
admitted 2
 
5.4%
program 2
 
5.4%
to 2
 
5.4%
Other values (13) 15
40.5%
2023-12-09T22:32:30.491132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
14.7%
t 25
10.5%
s 19
 
8.0%
r 18
 
7.6%
e 18
 
7.6%
o 14
 
5.9%
i 14
 
5.9%
n 12
 
5.0%
a 12
 
5.0%
d 11
 
4.6%
Other values (17) 60
25.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 190
79.8%
Space Separator 35
 
14.7%
Other Punctuation 6
 
2.5%
Uppercase Letter 5
 
2.1%
Decimal Number 2
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 25
13.2%
s 19
10.0%
r 18
9.5%
e 18
9.5%
o 14
 
7.4%
i 14
 
7.4%
n 12
 
6.3%
a 12
 
6.3%
d 11
 
5.8%
m 7
 
3.7%
Other values (9) 40
21.1%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
L 2
40.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 195
81.9%
Common 43
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 25
12.8%
s 19
9.7%
r 18
 
9.2%
e 18
 
9.2%
o 14
 
7.2%
i 14
 
7.2%
n 12
 
6.2%
a 12
 
6.2%
d 11
 
5.6%
m 7
 
3.6%
Other values (12) 45
23.1%
Common
ValueCountFrequency (%)
35
81.4%
. 4
 
9.3%
, 2
 
4.7%
2 1
 
2.3%
1 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
14.7%
t 25
10.5%
s 19
 
8.0%
r 18
 
7.6%
e 18
 
7.6%
o 14
 
5.9%
i 14
 
5.9%
n 12
 
5.0%
a 12
 
5.0%
d 11
 
4.6%
Other values (17) 60
25.2%

priority3_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority4_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority5_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog3
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.8 KiB
2023-12-09T22:32:30.716250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length253.5
Mean length253.5
Min length252

Characters and Unicode

Total characters507
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
2nd rowPreference given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, Participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
ValueCountFrequency (%)
language 10
 
15.4%
the 6
 
9.2%
target 4
 
6.2%
of 4
 
6.2%
preference 2
 
3.1%
programs 2
 
3.1%
education 2
 
3.1%
bilingual 2
 
3.1%
transitional 2
 
3.1%
and 2
 
3.1%
Other values (15) 29
44.6%
2023-12-09T22:32:31.062918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
12.4%
e 54
 
10.7%
a 50
 
9.9%
n 38
 
7.5%
g 36
 
7.1%
t 32
 
6.3%
l 26
 
5.1%
r 26
 
5.1%
i 25
 
4.9%
s 21
 
4.1%
Other values (26) 136
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 399
78.7%
Space Separator 63
 
12.4%
Uppercase Letter 31
 
6.1%
Other Punctuation 8
 
1.6%
Dash Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 54
13.5%
a 50
12.5%
n 38
9.5%
g 36
9.0%
t 32
8.0%
l 26
 
6.5%
r 26
 
6.5%
i 25
 
6.3%
s 21
 
5.3%
o 20
 
5.0%
Other values (11) 71
17.8%
Uppercase Letter
ValueCountFrequency (%)
L 12
38.7%
E 6
19.4%
P 3
 
9.7%
B 2
 
6.5%
T 2
 
6.5%
D 2
 
6.5%
S 2
 
6.5%
H 2
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
: 2
25.0%
. 2
25.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 430
84.8%
Common 77
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 54
12.6%
a 50
11.6%
n 38
 
8.8%
g 36
 
8.4%
t 32
 
7.4%
l 26
 
6.0%
r 26
 
6.0%
i 25
 
5.8%
s 21
 
4.9%
o 20
 
4.7%
Other values (19) 102
23.7%
Common
ValueCountFrequency (%)
63
81.8%
, 4
 
5.2%
- 2
 
2.6%
: 2
 
2.6%
) 2
 
2.6%
( 2
 
2.6%
. 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
12.4%
e 54
 
10.7%
a 50
 
9.9%
n 38
 
7.5%
g 36
 
7.1%
t 32
 
6.3%
l 26
 
5.1%
r 26
 
5.1%
i 25
 
4.9%
s 21
 
4.1%
Other values (26) 136
26.8%

lowestpriority_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB
Distinct6
Distinct (%)54.5%
Missing473
Missing (%)97.7%
Memory size16.2 KiB
2023-12-09T22:32:31.291887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length110
Median length109
Mean length66.45454545
Min length10

Characters and Unicode

Total characters731
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)27.3%

Sample

1st rowAttendance: 5%
2nd rowStudents who apply to this program will be randomly selected
3rd rowAttendance
4th rowStudents who apply to this program will be randomly selected in the order of the priority groups listed above
5th rowAttendance
ValueCountFrequency (%)
the 10
 
8.1%
students 7
 
5.7%
apply 7
 
5.7%
to 7
 
5.7%
this 7
 
5.7%
program 7
 
5.7%
will 7
 
5.7%
be 7
 
5.7%
randomly 7
 
5.7%
selected 7
 
5.7%
Other values (14) 50
40.7%
2023-12-09T22:32:31.639923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
15.3%
e 69
 
9.4%
t 61
 
8.3%
o 55
 
7.5%
r 48
 
6.6%
l 41
 
5.6%
i 36
 
4.9%
d 36
 
4.9%
s 33
 
4.5%
a 33
 
4.5%
Other values (20) 207
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 602
82.4%
Space Separator 112
 
15.3%
Uppercase Letter 13
 
1.8%
Other Punctuation 3
 
0.4%
Decimal Number 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 69
11.5%
t 61
 
10.1%
o 55
 
9.1%
r 48
 
8.0%
l 41
 
6.8%
i 36
 
6.0%
d 36
 
6.0%
s 33
 
5.5%
a 33
 
5.5%
p 31
 
5.1%
Other values (11) 159
26.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
53.8%
A 4
30.8%
P 1
 
7.7%
B 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
: 1
33.3%
% 1
33.3%
Space Separator
ValueCountFrequency (%)
112
100.0%
Decimal Number
ValueCountFrequency (%)
5 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 615
84.1%
Common 116
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 69
11.2%
t 61
 
9.9%
o 55
 
8.9%
r 48
 
7.8%
l 41
 
6.7%
i 36
 
5.9%
d 36
 
5.9%
s 33
 
5.4%
a 33
 
5.4%
p 31
 
5.0%
Other values (15) 172
28.0%
Common
ValueCountFrequency (%)
112
96.6%
. 1
 
0.9%
: 1
 
0.9%
5 1
 
0.9%
% 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
15.3%
e 69
 
9.4%
t 61
 
8.3%
o 55
 
7.5%
r 48
 
6.6%
l 41
 
5.6%
i 36
 
4.9%
d 36
 
4.9%
s 33
 
4.5%
a 33
 
4.5%
Other values (20) 207
28.3%
Distinct3
Distinct (%)100.0%
Missing481
Missing (%)99.4%
Memory size15.4 KiB
2023-12-09T22:32:31.842462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length32
Median length31
Mean length30
Min length27

Characters and Unicode

Total characters90
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowFinal 4th Grade Report Card: 45%
2nd rowLanguage Proficiency Assessment
3rd rowFinal 4th Grade Report Card
ValueCountFrequency (%)
final 2
14.3%
4th 2
14.3%
grade 2
14.3%
report 2
14.3%
card 2
14.3%
language 1
7.1%
proficiency 1
7.1%
assessment 1
7.1%
45 1
7.1%
2023-12-09T22:32:32.184594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
12.2%
a 8
 
8.9%
e 8
 
8.9%
r 7
 
7.8%
n 5
 
5.6%
t 5
 
5.6%
i 4
 
4.4%
s 4
 
4.4%
d 4
 
4.4%
o 3
 
3.3%
Other values (20) 31
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62
68.9%
Space Separator 11
 
12.2%
Uppercase Letter 11
 
12.2%
Decimal Number 4
 
4.4%
Other Punctuation 2
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
12.9%
e 8
12.9%
r 7
11.3%
n 5
8.1%
t 5
8.1%
i 4
 
6.5%
s 4
 
6.5%
d 4
 
6.5%
o 3
 
4.8%
c 2
 
3.2%
Other values (8) 12
19.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
18.2%
F 2
18.2%
R 2
18.2%
G 2
18.2%
L 1
9.1%
P 1
9.1%
A 1
9.1%
Decimal Number
ValueCountFrequency (%)
4 3
75.0%
5 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
% 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73
81.1%
Common 17
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
 
11.0%
e 8
 
11.0%
r 7
 
9.6%
n 5
 
6.8%
t 5
 
6.8%
i 4
 
5.5%
s 4
 
5.5%
d 4
 
5.5%
o 3
 
4.1%
c 2
 
2.7%
Other values (15) 23
31.5%
Common
ValueCountFrequency (%)
11
64.7%
4 3
 
17.6%
: 1
 
5.9%
5 1
 
5.9%
% 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
 
12.2%
a 8
 
8.9%
e 8
 
8.9%
r 7
 
7.8%
n 5
 
5.6%
t 5
 
5.6%
i 4
 
4.4%
s 4
 
4.4%
d 4
 
4.4%
o 3
 
3.3%
Other values (20) 31
34.4%
Distinct2
Distinct (%)66.7%
Missing481
Missing (%)99.4%
Memory size15.4 KiB
2023-12-09T22:32:32.399351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length11
Mean length17.66666667
Min length11

Characters and Unicode

Total characters53
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowNew York State Math Exam: 22.5%
2nd rowPunctuality
3rd rowPunctuality
ValueCountFrequency (%)
punctuality 2
25.0%
new 1
12.5%
york 1
12.5%
state 1
12.5%
math 1
12.5%
exam 1
12.5%
22.5 1
12.5%
2023-12-09T22:32:32.706384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 7
 
13.2%
a 5
 
9.4%
5
 
9.4%
u 4
 
7.5%
P 2
 
3.8%
n 2
 
3.8%
c 2
 
3.8%
l 2
 
3.8%
i 2
 
3.8%
y 2
 
3.8%
Other values (18) 20
37.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35
66.0%
Uppercase Letter 7
 
13.2%
Space Separator 5
 
9.4%
Decimal Number 3
 
5.7%
Other Punctuation 3
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 7
20.0%
a 5
14.3%
u 4
11.4%
n 2
 
5.7%
c 2
 
5.7%
l 2
 
5.7%
i 2
 
5.7%
y 2
 
5.7%
e 2
 
5.7%
x 1
 
2.9%
Other values (6) 6
17.1%
Uppercase Letter
ValueCountFrequency (%)
P 2
28.6%
E 1
14.3%
M 1
14.3%
S 1
14.3%
Y 1
14.3%
N 1
14.3%
Other Punctuation
ValueCountFrequency (%)
: 1
33.3%
. 1
33.3%
% 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 42
79.2%
Common 11
 
20.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 7
16.7%
a 5
11.9%
u 4
 
9.5%
P 2
 
4.8%
n 2
 
4.8%
c 2
 
4.8%
l 2
 
4.8%
i 2
 
4.8%
y 2
 
4.8%
e 2
 
4.8%
Other values (12) 12
28.6%
Common
ValueCountFrequency (%)
5
45.5%
2 2
 
18.2%
: 1
 
9.1%
5 1
 
9.1%
. 1
 
9.1%
% 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 7
 
13.2%
a 5
 
9.4%
5
 
9.4%
u 4
 
7.5%
P 2
 
3.8%
n 2
 
3.8%
c 2
 
3.8%
l 2
 
3.8%
i 2
 
3.8%
y 2
 
3.8%
Other values (18) 20
37.7%
Distinct3
Distinct (%)100.0%
Missing481
Missing (%)99.4%
Memory size15.4 KiB
2023-12-09T22:32:32.886159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length30
Median length28
Mean length25
Min length17

Characters and Unicode

Total characters75
Distinct characters30
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowNew York State ELA Exam: 22.5%
2nd rowStandardized Test Score: ELA
3rd rowSchool Assessment
ValueCountFrequency (%)
ela 2
16.7%
new 1
8.3%
york 1
8.3%
state 1
8.3%
exam 1
8.3%
22.5 1
8.3%
standardized 1
8.3%
test 1
8.3%
score 1
8.3%
school 1
8.3%
2023-12-09T22:32:33.190208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
 
12.0%
e 7
 
9.3%
t 5
 
6.7%
s 5
 
6.7%
a 4
 
5.3%
o 4
 
5.3%
S 4
 
5.3%
A 3
 
4.0%
E 3
 
4.0%
d 3
 
4.0%
Other values (20) 28
37.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44
58.7%
Uppercase Letter 15
 
20.0%
Space Separator 9
 
12.0%
Other Punctuation 4
 
5.3%
Decimal Number 3
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7
15.9%
t 5
11.4%
s 5
11.4%
a 4
9.1%
o 4
9.1%
d 3
6.8%
r 3
6.8%
n 2
 
4.5%
c 2
 
4.5%
m 2
 
4.5%
Other values (7) 7
15.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
26.7%
A 3
20.0%
E 3
20.0%
L 2
13.3%
T 1
 
6.7%
N 1
 
6.7%
Y 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
: 2
50.0%
% 1
25.0%
. 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
5 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 59
78.7%
Common 16
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7
 
11.9%
t 5
 
8.5%
s 5
 
8.5%
a 4
 
6.8%
o 4
 
6.8%
S 4
 
6.8%
A 3
 
5.1%
E 3
 
5.1%
d 3
 
5.1%
r 3
 
5.1%
Other values (14) 18
30.5%
Common
ValueCountFrequency (%)
9
56.2%
: 2
 
12.5%
2 2
 
12.5%
% 1
 
6.2%
5 1
 
6.2%
. 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
 
12.0%
e 7
 
9.3%
t 5
 
6.7%
s 5
 
6.7%
a 4
 
5.3%
o 4
 
5.3%
S 4
 
5.3%
A 3
 
4.0%
E 3
 
4.0%
d 3
 
4.0%
Other values (20) 28
37.3%
Distinct3
Distinct (%)100.0%
Missing481
Missing (%)99.4%
Memory size15.4 KiB
2023-12-09T22:32:33.381820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length29
Mean length29
Min length15

Characters and Unicode

Total characters87
Distinct characters34
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowPunctuality: 5%
2nd rowStandardized Test Score: Math
3rd row4th Grade New York State ELA and Math Exams
ValueCountFrequency (%)
math 2
13.3%
4th 1
 
6.7%
grade 1
 
6.7%
new 1
 
6.7%
york 1
 
6.7%
state 1
 
6.7%
ela 1
 
6.7%
and 1
 
6.7%
exams 1
 
6.7%
punctuality 1
 
6.7%
Other values (4) 4
26.7%
2023-12-09T22:32:33.698053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
13.8%
a 9
 
10.3%
t 9
 
10.3%
e 6
 
6.9%
d 5
 
5.7%
r 4
 
4.6%
S 3
 
3.4%
h 3
 
3.4%
n 3
 
3.4%
: 2
 
2.3%
Other values (24) 31
35.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 56
64.4%
Uppercase Letter 14
 
16.1%
Space Separator 12
 
13.8%
Other Punctuation 3
 
3.4%
Decimal Number 2
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 9
16.1%
t 9
16.1%
e 6
10.7%
d 5
8.9%
r 4
 
7.1%
h 3
 
5.4%
n 3
 
5.4%
c 2
 
3.6%
i 2
 
3.6%
s 2
 
3.6%
Other values (9) 11
19.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
M 2
14.3%
E 2
14.3%
A 1
 
7.1%
P 1
 
7.1%
L 1
 
7.1%
Y 1
 
7.1%
N 1
 
7.1%
G 1
 
7.1%
T 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
: 2
66.7%
% 1
33.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 70
80.5%
Common 17
 
19.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 9
 
12.9%
t 9
 
12.9%
e 6
 
8.6%
d 5
 
7.1%
r 4
 
5.7%
S 3
 
4.3%
h 3
 
4.3%
n 3
 
4.3%
c 2
 
2.9%
M 2
 
2.9%
Other values (19) 24
34.3%
Common
ValueCountFrequency (%)
12
70.6%
: 2
 
11.8%
5 1
 
5.9%
% 1
 
5.9%
4 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
 
13.8%
a 9
 
10.3%
t 9
 
10.3%
e 6
 
6.9%
d 5
 
5.7%
r 4
 
4.6%
S 3
 
3.4%
h 3
 
3.4%
n 3
 
3.4%
: 2
 
2.3%
Other values (24) 31
35.6%

selectioncriteria6_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria7_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

code_prog4
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing479
Missing (%)99.0%
Memory size15.4 KiB
2023-12-09T22:32:33.892974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters35
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowK220Z
2nd rowK228Q
3rd rowTalent Programs
4th rowK113S
5th rowQ073Z
ValueCountFrequency (%)
k228q 1
16.7%
q073z 1
16.7%
k220z 1
16.7%
k113s 1
16.7%
talent 1
16.7%
programs 1
16.7%
2023-12-09T22:32:34.190546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4
 
11.4%
K 3
 
8.6%
3 2
 
5.7%
r 2
 
5.7%
1 2
 
5.7%
Z 2
 
5.7%
a 2
 
5.7%
0 2
 
5.7%
Q 2
 
5.7%
7 1
 
2.9%
Other values (13) 13
37.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12
34.3%
Lowercase Letter 12
34.3%
Uppercase Letter 10
28.6%
Space Separator 1
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 2
16.7%
a 2
16.7%
l 1
8.3%
e 1
8.3%
n 1
8.3%
t 1
8.3%
o 1
8.3%
g 1
8.3%
m 1
8.3%
s 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
3 2
16.7%
1 2
16.7%
0 2
16.7%
7 1
 
8.3%
8 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
K 3
30.0%
Z 2
20.0%
Q 2
20.0%
S 1
 
10.0%
T 1
 
10.0%
P 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22
62.9%
Common 13
37.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 3
13.6%
r 2
 
9.1%
Z 2
 
9.1%
a 2
 
9.1%
Q 2
 
9.1%
S 1
 
4.5%
T 1
 
4.5%
l 1
 
4.5%
e 1
 
4.5%
n 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
2 4
30.8%
3 2
15.4%
1 2
15.4%
0 2
15.4%
7 1
 
7.7%
1
 
7.7%
8 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4
 
11.4%
K 3
 
8.6%
3 2
 
5.7%
r 2
 
5.7%
1 2
 
5.7%
Z 2
 
5.7%
a 2
 
5.7%
0 2
 
5.7%
Q 2
 
5.7%
7 1
 
2.9%
Other values (13) 13
37.1%

name_prog4
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing479
Missing (%)99.0%
Memory size15.6 KiB
2023-12-09T22:32:34.405034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length64
Median length45
Mean length40.6
Min length13

Characters and Unicode

Total characters203
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowZoned Program
2nd rowDavid A. Boody (I.S. 228): Hebrew Dual Language Program
3rd rowJoseph B. Cavallaro (I.S. 281) Magnet Program
4th rowAcademy of Performing Arts
5th rowThe Frank Sansivieri Intermediate School (I.S. 73) Zoned Program
ValueCountFrequency (%)
program 4
 
12.9%
i.s 3
 
9.7%
zoned 2
 
6.5%
david 1
 
3.2%
b 1
 
3.2%
school 1
 
3.2%
intermediate 1
 
3.2%
sansivieri 1
 
3.2%
frank 1
 
3.2%
the 1
 
3.2%
Other values (15) 15
48.4%
2023-12-09T22:32:34.736391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
12.8%
a 16
 
7.9%
r 16
 
7.9%
o 14
 
6.9%
e 14
 
6.9%
n 8
 
3.9%
g 8
 
3.9%
. 8
 
3.9%
m 7
 
3.4%
i 6
 
3.0%
Other values (36) 80
39.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 124
61.1%
Uppercase Letter 30
 
14.8%
Space Separator 26
 
12.8%
Other Punctuation 9
 
4.4%
Decimal Number 8
 
3.9%
Close Punctuation 3
 
1.5%
Open Punctuation 3
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 16
12.9%
r 16
12.9%
o 14
11.3%
e 14
11.3%
n 8
 
6.5%
g 8
 
6.5%
m 7
 
5.6%
i 6
 
4.8%
d 6
 
4.8%
t 4
 
3.2%
Other values (12) 25
20.2%
Uppercase Letter
ValueCountFrequency (%)
P 5
16.7%
S 5
16.7%
I 4
13.3%
A 3
10.0%
Z 2
 
6.7%
D 2
 
6.7%
B 2
 
6.7%
L 1
 
3.3%
F 1
 
3.3%
T 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
8 2
25.0%
1 1
 
12.5%
7 1
 
12.5%
3 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 8
88.9%
: 1
 
11.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 154
75.9%
Common 49
 
24.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 16
 
10.4%
r 16
 
10.4%
o 14
 
9.1%
e 14
 
9.1%
n 8
 
5.2%
g 8
 
5.2%
m 7
 
4.5%
i 6
 
3.9%
d 6
 
3.9%
P 5
 
3.2%
Other values (26) 54
35.1%
Common
ValueCountFrequency (%)
26
53.1%
. 8
 
16.3%
2 3
 
6.1%
) 3
 
6.1%
( 3
 
6.1%
8 2
 
4.1%
1 1
 
2.0%
7 1
 
2.0%
: 1
 
2.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
 
12.8%
a 16
 
7.9%
r 16
 
7.9%
o 14
 
6.9%
e 14
 
6.9%
n 8
 
3.9%
g 8
 
3.9%
. 8
 
3.9%
m 7
 
3.4%
i 6
 
3.0%
Other values (36) 80
39.4%
Distinct4
Distinct (%)80.0%
Missing479
Missing (%)99.0%
Memory size15.4 KiB
2023-12-09T22:32:34.921088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length18
Median length11
Mean length9.4
Min length5

Characters and Unicode

Total characters47
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st rowZoned
2nd rowScreened: Language
3rd rowTalent Test
4th rowScreened
5th rowZoned
ValueCountFrequency (%)
zoned 2
28.6%
screened 2
28.6%
talent 1
14.3%
test 1
14.3%
language 1
14.3%
2023-12-09T22:32:35.230083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 11
23.4%
n 6
12.8%
d 4
 
8.5%
a 3
 
6.4%
Z 2
 
4.3%
S 2
 
4.3%
g 2
 
4.3%
r 2
 
4.3%
c 2
 
4.3%
2
 
4.3%
Other values (8) 11
23.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37
78.7%
Uppercase Letter 7
 
14.9%
Space Separator 2
 
4.3%
Other Punctuation 1
 
2.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 11
29.7%
n 6
16.2%
d 4
 
10.8%
a 3
 
8.1%
g 2
 
5.4%
r 2
 
5.4%
c 2
 
5.4%
o 2
 
5.4%
t 2
 
5.4%
s 1
 
2.7%
Other values (2) 2
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
Z 2
28.6%
S 2
28.6%
T 2
28.6%
L 1
14.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44
93.6%
Common 3
 
6.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 11
25.0%
n 6
13.6%
d 4
 
9.1%
a 3
 
6.8%
Z 2
 
4.5%
S 2
 
4.5%
g 2
 
4.5%
r 2
 
4.5%
c 2
 
4.5%
o 2
 
4.5%
Other values (6) 8
18.2%
Common
ValueCountFrequency (%)
2
66.7%
: 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 11
23.4%
n 6
12.8%
d 4
 
8.5%
a 3
 
6.4%
Z 2
 
4.3%
S 2
 
4.3%
g 2
 
4.3%
r 2
 
4.3%
c 2
 
4.3%
2
 
4.3%
Other values (8) 11
23.4%

geapps_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:35.387719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row82
2nd row125
ValueCountFrequency (%)
82 1
50.0%
125 1
50.0%
2023-12-09T22:32:35.658327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
1 1
20.0%
5 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
1 1
20.0%
5 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
1 1
20.0%
5 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2
40.0%
8 1
20.0%
1 1
20.0%
5 1
20.0%

swdapps_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:35.808030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row10
2nd row42
ValueCountFrequency (%)
10 1
50.0%
42 1
50.0%
2023-12-09T22:32:36.063873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
2 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
2 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
2 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
25.0%
0 1
25.0%
4 1
25.0%
2 1
25.0%

geappsperseat_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:36.171778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row5
2nd row2
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
2023-12-09T22:32:36.386961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%

swdappsperseat_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:36.495295image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row3
2nd row4
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%
2023-12-09T22:32:36.712814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1
50.0%
4 1
50.0%

swdseats_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:36.846186image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row4
2nd row12
ValueCountFrequency (%)
12 1
50.0%
4 1
50.0%
2023-12-09T22:32:37.091190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%

geseats_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:37.244647image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row16
2nd row73
ValueCountFrequency (%)
73 1
50.0%
16 1
50.0%
2023-12-09T22:32:37.519068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1
25.0%
3 1
25.0%
1 1
25.0%
6 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
25.0%
3 1
25.0%
1 1
25.0%
6 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1
25.0%
3 1
25.0%
1 1
25.0%
6 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1
25.0%
3 1
25.0%
1 1
25.0%
6 1
25.0%

gefilled_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:37.630914image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowY
2nd rowN
ValueCountFrequency (%)
n 1
50.0%
y 1
50.0%
2023-12-09T22:32:37.855436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

swdfilled_prog4
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:37.969657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowN
2nd rowY
ValueCountFrequency (%)
n 1
50.0%
y 1
50.0%
2023-12-09T22:32:38.204687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 1
50.0%
Y 1
50.0%

eligibility_prog4
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing479
Missing (%)99.0%
Memory size15.6 KiB
2023-12-09T22:32:38.403449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length42
Mean length41.2
Min length37

Characters and Unicode

Total characters206
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st rowOpen to students residing in the zone
2nd rowOpen to students and residents of Brooklyn
3rd rowOpen to students and residents of District 21
4th rowOpen to students and residents of District 13
5th rowOpen to students residing in the zone
ValueCountFrequency (%)
open 5
13.5%
to 5
13.5%
students 5
13.5%
and 3
8.1%
residents 3
8.1%
of 3
8.1%
residing 2
 
5.4%
in 2
 
5.4%
the 2
 
5.4%
zone 2
 
5.4%
Other values (4) 5
13.5%
2023-12-09T22:32:38.736014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
15.5%
t 24
11.7%
n 23
11.2%
e 22
10.7%
s 20
9.7%
i 13
 
6.3%
d 13
 
6.3%
o 12
 
5.8%
r 8
 
3.9%
O 5
 
2.4%
Other values (16) 34
16.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 162
78.6%
Space Separator 32
 
15.5%
Uppercase Letter 8
 
3.9%
Decimal Number 4
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 24
14.8%
n 23
14.2%
e 22
13.6%
s 20
12.3%
i 13
8.0%
d 13
8.0%
o 12
7.4%
r 8
 
4.9%
p 5
 
3.1%
u 5
 
3.1%
Other values (9) 17
10.5%
Uppercase Letter
ValueCountFrequency (%)
O 5
62.5%
D 2
 
25.0%
B 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 170
82.5%
Common 36
 
17.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 24
14.1%
n 23
13.5%
e 22
12.9%
s 20
11.8%
i 13
7.6%
d 13
7.6%
o 12
7.1%
r 8
 
4.7%
O 5
 
2.9%
p 5
 
2.9%
Other values (12) 25
14.7%
Common
ValueCountFrequency (%)
32
88.9%
1 2
 
5.6%
2 1
 
2.8%
3 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 206
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
15.5%
t 24
11.7%
n 23
11.2%
e 22
10.7%
s 20
9.7%
i 13
 
6.3%
d 13
 
6.3%
o 12
 
5.8%
r 8
 
3.9%
O 5
 
2.4%
Other values (16) 34
16.5%

priority1_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority2_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority3_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority4_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority5_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog4
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.5 KiB
2023-12-09T22:32:38.955268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length255
Median length255
Mean length255
Min length255

Characters and Unicode

Total characters255
Distinct characters36
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowPreference is given to the following students: English Language Learners (ELLs), Heritage Language Speakers of the target language, participants of elementary school-level Dual Language and Transitional Bilingual Education programs in the target language.
ValueCountFrequency (%)
language 5
 
15.2%
the 3
 
9.1%
target 2
 
6.1%
of 2
 
6.1%
preference 1
 
3.0%
programs 1
 
3.0%
education 1
 
3.0%
bilingual 1
 
3.0%
transitional 1
 
3.0%
and 1
 
3.0%
Other values (15) 15
45.5%
2023-12-09T22:32:39.294999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
12.5%
e 27
 
10.6%
a 25
 
9.8%
n 19
 
7.5%
g 18
 
7.1%
t 16
 
6.3%
l 13
 
5.1%
i 13
 
5.1%
r 13
 
5.1%
s 11
 
4.3%
Other values (26) 68
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 201
78.8%
Space Separator 32
 
12.5%
Uppercase Letter 15
 
5.9%
Other Punctuation 4
 
1.6%
Dash Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 27
13.4%
a 25
12.4%
n 19
9.5%
g 18
9.0%
t 16
8.0%
l 13
 
6.5%
i 13
 
6.5%
r 13
 
6.5%
s 11
 
5.5%
o 10
 
5.0%
Other values (11) 36
17.9%
Uppercase Letter
ValueCountFrequency (%)
L 6
40.0%
E 3
20.0%
B 1
 
6.7%
T 1
 
6.7%
D 1
 
6.7%
P 1
 
6.7%
S 1
 
6.7%
H 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
: 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 216
84.7%
Common 39
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 27
12.5%
a 25
11.6%
n 19
 
8.8%
g 18
 
8.3%
t 16
 
7.4%
l 13
 
6.0%
i 13
 
6.0%
r 13
 
6.0%
s 11
 
5.1%
o 10
 
4.6%
Other values (19) 51
23.6%
Common
ValueCountFrequency (%)
32
82.1%
, 2
 
5.1%
- 1
 
2.6%
: 1
 
2.6%
) 1
 
2.6%
( 1
 
2.6%
. 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
12.5%
e 27
 
10.6%
a 25
 
9.8%
n 19
 
7.5%
g 18
 
7.1%
t 16
 
6.3%
l 13
 
5.1%
i 13
 
5.1%
r 13
 
5.1%
s 11
 
4.3%
Other values (26) 68
26.7%

lowestpriority_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB
Distinct2
Distinct (%)66.7%
Missing481
Missing (%)99.4%
Memory size15.5 KiB
2023-12-09T22:32:39.519480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length120
Median length10
Mean length46.66666667
Min length10

Characters and Unicode

Total characters140
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowAttendance
2nd rowStudents who apply to these programs will be selected based on their score on the District 21 Talent Tests. See page XX.
3rd rowAttendance
ValueCountFrequency (%)
attendance 2
 
8.3%
on 2
 
8.3%
who 1
 
4.2%
apply 1
 
4.2%
page 1
 
4.2%
see 1
 
4.2%
tests 1
 
4.2%
talent 1
 
4.2%
21 1
 
4.2%
district 1
 
4.2%
Other values (12) 12
50.0%
2023-12-09T22:32:39.870977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
15.0%
e 20
14.3%
t 15
 
10.7%
s 9
 
6.4%
n 8
 
5.7%
a 7
 
5.0%
o 6
 
4.3%
l 5
 
3.6%
r 5
 
3.6%
c 5
 
3.6%
Other values (18) 39
27.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 106
75.7%
Space Separator 21
 
15.0%
Uppercase Letter 9
 
6.4%
Other Punctuation 2
 
1.4%
Decimal Number 2
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 20
18.9%
t 15
14.2%
s 9
8.5%
n 8
 
7.5%
a 7
 
6.6%
o 6
 
5.7%
l 5
 
4.7%
r 5
 
4.7%
c 5
 
4.7%
d 5
 
4.7%
Other values (9) 21
19.8%
Uppercase Letter
ValueCountFrequency (%)
T 2
22.2%
A 2
22.2%
S 2
22.2%
X 2
22.2%
D 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 115
82.1%
Common 25
 
17.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 20
17.4%
t 15
13.0%
s 9
 
7.8%
n 8
 
7.0%
a 7
 
6.1%
o 6
 
5.2%
l 5
 
4.3%
r 5
 
4.3%
c 5
 
4.3%
d 5
 
4.3%
Other values (14) 30
26.1%
Common
ValueCountFrequency (%)
21
84.0%
. 2
 
8.0%
2 1
 
4.0%
1 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
15.0%
e 20
14.3%
t 15
 
10.7%
s 9
 
6.4%
n 8
 
5.7%
a 7
 
5.0%
o 6
 
4.3%
l 5
 
3.6%
r 5
 
3.6%
c 5
 
3.6%
Other values (18) 39
27.9%
Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.4 KiB
2023-12-09T22:32:40.064485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length31
Median length29
Mean length29
Min length27

Characters and Unicode

Total characters58
Distinct characters27
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowLanguage Proficiency Assessment
2nd rowFinal 4th Grade Report Card
ValueCountFrequency (%)
final 1
12.5%
4th 1
12.5%
grade 1
12.5%
report 1
12.5%
card 1
12.5%
language 1
12.5%
proficiency 1
12.5%
assessment 1
12.5%
2023-12-09T22:32:40.386467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
10.3%
e 6
 
10.3%
a 5
 
8.6%
n 4
 
6.9%
s 4
 
6.9%
r 4
 
6.9%
t 3
 
5.2%
i 3
 
5.2%
c 2
 
3.4%
o 2
 
3.4%
Other values (17) 19
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44
75.9%
Uppercase Letter 7
 
12.1%
Space Separator 6
 
10.3%
Decimal Number 1
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6
13.6%
a 5
11.4%
n 4
9.1%
s 4
9.1%
r 4
9.1%
t 3
 
6.8%
i 3
 
6.8%
c 2
 
4.5%
o 2
 
4.5%
g 2
 
4.5%
Other values (8) 9
20.5%
Uppercase Letter
ValueCountFrequency (%)
P 1
14.3%
F 1
14.3%
A 1
14.3%
R 1
14.3%
L 1
14.3%
C 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 51
87.9%
Common 7
 
12.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6
 
11.8%
a 5
 
9.8%
n 4
 
7.8%
s 4
 
7.8%
r 4
 
7.8%
t 3
 
5.9%
i 3
 
5.9%
c 2
 
3.9%
o 2
 
3.9%
g 2
 
3.9%
Other values (15) 16
31.4%
Common
ValueCountFrequency (%)
6
85.7%
4 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
 
10.3%
e 6
 
10.3%
a 5
 
8.6%
n 4
 
6.9%
s 4
 
6.9%
r 4
 
6.9%
t 3
 
5.2%
i 3
 
5.2%
c 2
 
3.4%
o 2
 
3.4%
Other values (17) 19
32.8%

selectioncriteria3_prog4
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:40.547680image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters22
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPunctuality
2nd rowPunctuality
ValueCountFrequency (%)
punctuality 2
100.0%
2023-12-09T22:32:40.810532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
u 4
18.2%
t 4
18.2%
P 2
9.1%
n 2
9.1%
c 2
9.1%
a 2
9.1%
l 2
9.1%
i 2
9.1%
y 2
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20
90.9%
Uppercase Letter 2
 
9.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u 4
20.0%
t 4
20.0%
n 2
10.0%
c 2
10.0%
a 2
10.0%
l 2
10.0%
i 2
10.0%
y 2
10.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 22
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
u 4
18.2%
t 4
18.2%
P 2
9.1%
n 2
9.1%
c 2
9.1%
a 2
9.1%
l 2
9.1%
i 2
9.1%
y 2
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u 4
18.2%
t 4
18.2%
P 2
9.1%
n 2
9.1%
c 2
9.1%
a 2
9.1%
l 2
9.1%
i 2
9.1%
y 2
9.1%
Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:40.983923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length28
Median length22.5
Mean length22.5
Min length17

Characters and Unicode

Total characters45
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowStandardized Test Score: ELA
2nd rowSchool Assessment
ValueCountFrequency (%)
standardized 1
16.7%
test 1
16.7%
score 1
16.7%
ela 1
16.7%
school 1
16.7%
assessment 1
16.7%
2023-12-09T22:32:41.283412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 5
 
11.1%
s 5
 
11.1%
4
 
8.9%
S 3
 
6.7%
d 3
 
6.7%
t 3
 
6.7%
o 3
 
6.7%
a 2
 
4.4%
n 2
 
4.4%
r 2
 
4.4%
Other values (11) 13
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32
71.1%
Uppercase Letter 8
 
17.8%
Space Separator 4
 
8.9%
Other Punctuation 1
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
15.6%
s 5
15.6%
d 3
9.4%
t 3
9.4%
o 3
9.4%
a 2
 
6.2%
n 2
 
6.2%
r 2
 
6.2%
c 2
 
6.2%
l 1
 
3.1%
Other values (4) 4
12.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
37.5%
A 2
25.0%
L 1
 
12.5%
T 1
 
12.5%
E 1
 
12.5%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 40
88.9%
Common 5
 
11.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5
12.5%
s 5
12.5%
S 3
 
7.5%
d 3
 
7.5%
t 3
 
7.5%
o 3
 
7.5%
a 2
 
5.0%
n 2
 
5.0%
r 2
 
5.0%
c 2
 
5.0%
Other values (9) 10
25.0%
Common
ValueCountFrequency (%)
4
80.0%
: 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5
 
11.1%
s 5
 
11.1%
4
 
8.9%
S 3
 
6.7%
d 3
 
6.7%
t 3
 
6.7%
o 3
 
6.7%
a 2
 
4.4%
n 2
 
4.4%
r 2
 
4.4%
Other values (11) 13
28.9%
Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.4 KiB
2023-12-09T22:32:41.470499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length43
Median length36
Mean length36
Min length29

Characters and Unicode

Total characters72
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowStandardized Test Score: Math
2nd row4th Grade New York State ELA and Math Exams
ValueCountFrequency (%)
math 2
15.4%
4th 1
7.7%
grade 1
7.7%
new 1
7.7%
york 1
7.7%
state 1
7.7%
ela 1
7.7%
and 1
7.7%
exams 1
7.7%
standardized 1
7.7%
Other values (2) 2
15.4%
2023-12-09T22:32:41.774847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
15.3%
a 8
 
11.1%
t 7
 
9.7%
e 6
 
8.3%
d 5
 
6.9%
r 4
 
5.6%
S 3
 
4.2%
h 3
 
4.2%
o 2
 
2.8%
E 2
 
2.8%
Other values (18) 21
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 46
63.9%
Uppercase Letter 13
 
18.1%
Space Separator 11
 
15.3%
Decimal Number 1
 
1.4%
Other Punctuation 1
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 8
17.4%
t 7
15.2%
e 6
13.0%
d 5
10.9%
r 4
8.7%
h 3
 
6.5%
o 2
 
4.3%
s 2
 
4.3%
n 2
 
4.3%
i 1
 
2.2%
Other values (6) 6
13.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
E 2
15.4%
M 2
15.4%
T 1
 
7.7%
A 1
 
7.7%
L 1
 
7.7%
Y 1
 
7.7%
N 1
 
7.7%
G 1
 
7.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 59
81.9%
Common 13
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 8
13.6%
t 7
11.9%
e 6
 
10.2%
d 5
 
8.5%
r 4
 
6.8%
S 3
 
5.1%
h 3
 
5.1%
o 2
 
3.4%
E 2
 
3.4%
s 2
 
3.4%
Other values (15) 17
28.8%
Common
ValueCountFrequency (%)
11
84.6%
4 1
 
7.7%
: 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
15.3%
a 8
 
11.1%
t 7
 
9.7%
e 6
 
8.3%
d 5
 
6.9%
r 4
 
5.6%
S 3
 
4.2%
h 3
 
4.2%
o 2
 
2.8%
E 2
 
2.8%
Other values (18) 21
29.2%

selectioncriteria6_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria7_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog4
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing482
Missing (%)99.6%
Memory size15.9 KiB
2023-12-09T22:32:41.983742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length136
Median length136
Mean length136
Min length136

Characters and Unicode

Total characters272
Distinct characters26
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowThis program will see where you rank it on your child’s application; this influences how the program evaluates your child’s application.
2nd rowThis program will see where you rank it on your child’s application; this influences how the program evaluates your child’s application.
ValueCountFrequency (%)
this 4
 
9.5%
program 4
 
9.5%
your 4
 
9.5%
child’s 4
 
9.5%
application 4
 
9.5%
will 2
 
4.8%
see 2
 
4.8%
where 2
 
4.8%
you 2
 
4.8%
rank 2
 
4.8%
Other values (6) 12
28.6%
2023-12-09T22:32:42.305151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
14.7%
i 22
 
8.1%
e 18
 
6.6%
o 18
 
6.6%
a 18
 
6.6%
r 16
 
5.9%
l 16
 
5.9%
s 14
 
5.1%
h 14
 
5.1%
p 12
 
4.4%
Other values (16) 84
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 222
81.6%
Space Separator 40
 
14.7%
Final Punctuation 4
 
1.5%
Other Punctuation 4
 
1.5%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 22
 
9.9%
e 18
 
8.1%
o 18
 
8.1%
a 18
 
8.1%
r 16
 
7.2%
l 16
 
7.2%
s 14
 
6.3%
h 14
 
6.3%
p 12
 
5.4%
t 12
 
5.4%
Other values (11) 62
27.9%
Other Punctuation
ValueCountFrequency (%)
; 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Final Punctuation
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 224
82.4%
Common 48
 
17.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 22
 
9.8%
e 18
 
8.0%
o 18
 
8.0%
a 18
 
8.0%
r 16
 
7.1%
l 16
 
7.1%
s 14
 
6.2%
h 14
 
6.2%
p 12
 
5.4%
t 12
 
5.4%
Other values (12) 64
28.6%
Common
ValueCountFrequency (%)
40
83.3%
4
 
8.3%
; 2
 
4.2%
. 2
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 268
98.5%
Punctuation 4
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
14.9%
i 22
 
8.2%
e 18
 
6.7%
o 18
 
6.7%
a 18
 
6.7%
r 16
 
6.0%
l 16
 
6.0%
s 14
 
5.2%
h 14
 
5.2%
p 12
 
4.5%
Other values (15) 80
29.9%
Punctuation
ValueCountFrequency (%)
4
100.0%

code_prog5
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:42.453734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowK228Z
2nd rowK113T
ValueCountFrequency (%)
k228z 1
50.0%
k113t 1
50.0%
2023-12-09T22:32:42.704370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
K 2
20.0%
2 2
20.0%
1 2
20.0%
8 1
10.0%
Z 1
10.0%
3 1
10.0%
T 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
60.0%
Uppercase Letter 4
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
8 1
16.7%
3 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
Z 1
25.0%
T 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
60.0%
Latin 4
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
8 1
16.7%
3 1
16.7%
Latin
ValueCountFrequency (%)
K 2
50.0%
Z 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
K 2
20.0%
2 2
20.0%
1 2
20.0%
8 1
10.0%
Z 1
10.0%
3 1
10.0%
T 1
10.0%

name_prog5
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.4 KiB
2023-12-09T22:32:42.909304image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length52
Median length45.5
Mean length45.5
Min length39

Characters and Unicode

Total characters91
Distinct characters34
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowDavid A. Boody (I.S. 228) Zoned Program
2nd rowACATS (The Academy of Computer & Technology Science)
ValueCountFrequency (%)
david 1
 
6.7%
a 1
 
6.7%
boody 1
 
6.7%
i.s 1
 
6.7%
228 1
 
6.7%
zoned 1
 
6.7%
program 1
 
6.7%
acats 1
 
6.7%
the 1
 
6.7%
academy 1
 
6.7%
Other values (5) 5
33.3%
2023-12-09T22:32:43.235446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
14.3%
o 8
 
8.8%
e 7
 
7.7%
d 4
 
4.4%
A 4
 
4.4%
c 4
 
4.4%
S 3
 
3.3%
a 3
 
3.3%
T 3
 
3.3%
. 3
 
3.3%
Other values (24) 39
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 50
54.9%
Uppercase Letter 17
 
18.7%
Space Separator 13
 
14.3%
Other Punctuation 4
 
4.4%
Decimal Number 3
 
3.3%
Close Punctuation 2
 
2.2%
Open Punctuation 2
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 8
16.0%
e 7
14.0%
d 4
 
8.0%
c 4
 
8.0%
a 3
 
6.0%
m 3
 
6.0%
y 3
 
6.0%
r 3
 
6.0%
n 3
 
6.0%
g 2
 
4.0%
Other values (8) 10
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
23.5%
S 3
17.6%
T 3
17.6%
C 2
11.8%
D 1
 
5.9%
Z 1
 
5.9%
P 1
 
5.9%
I 1
 
5.9%
B 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
& 1
 
25.0%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67
73.6%
Common 24
 
26.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 8
 
11.9%
e 7
 
10.4%
d 4
 
6.0%
A 4
 
6.0%
c 4
 
6.0%
S 3
 
4.5%
a 3
 
4.5%
T 3
 
4.5%
m 3
 
4.5%
y 3
 
4.5%
Other values (17) 25
37.3%
Common
ValueCountFrequency (%)
13
54.2%
. 3
 
12.5%
) 2
 
8.3%
2 2
 
8.3%
( 2
 
8.3%
& 1
 
4.2%
8 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
 
14.3%
o 8
 
8.8%
e 7
 
7.7%
d 4
 
4.4%
A 4
 
4.4%
c 4
 
4.4%
S 3
 
3.3%
a 3
 
3.3%
T 3
 
3.3%
. 3
 
3.3%
Other values (24) 39
42.9%
Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.3 KiB
2023-12-09T22:32:43.398810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length6.5
Min length5

Characters and Unicode

Total characters13
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowZoned
2nd rowScreened
ValueCountFrequency (%)
screened 1
50.0%
zoned 1
50.0%
2023-12-09T22:32:43.674038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4
30.8%
n 2
15.4%
d 2
15.4%
S 1
 
7.7%
c 1
 
7.7%
r 1
 
7.7%
Z 1
 
7.7%
o 1
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11
84.6%
Uppercase Letter 2
 
15.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
n 2
18.2%
d 2
18.2%
c 1
 
9.1%
r 1
 
9.1%
o 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
Z 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4
30.8%
n 2
15.4%
d 2
15.4%
S 1
 
7.7%
c 1
 
7.7%
r 1
 
7.7%
Z 1
 
7.7%
o 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4
30.8%
n 2
15.4%
d 2
15.4%
S 1
 
7.7%
c 1
 
7.7%
r 1
 
7.7%
Z 1
 
7.7%
o 1
 
7.7%

geapps_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:43.788065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row144
ValueCountFrequency (%)
144 1
100.0%
2023-12-09T22:32:44.020766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2
66.7%
1 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2
66.7%
1 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2
66.7%
1 1
33.3%

swdapps_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:44.124251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row49
ValueCountFrequency (%)
49 1
100.0%
2023-12-09T22:32:44.342926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1
50.0%
9 1
50.0%

geappsperseat_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:44.444208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2
ValueCountFrequency (%)
2 1
100.0%
2023-12-09T22:32:44.664472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1
100.0%

swdappsperseat_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:44.770659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row4
ValueCountFrequency (%)
4 1
100.0%
2023-12-09T22:32:44.976012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 1
100.0%

swdseats_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:45.075746image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row12
ValueCountFrequency (%)
12 1
100.0%
2023-12-09T22:32:47.351581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%

geseats_prog5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:47.456514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row73
ValueCountFrequency (%)
73 1
100.0%
2023-12-09T22:32:47.676187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1
50.0%
3 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
50.0%
3 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1
50.0%
3 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1
50.0%
3 1
50.0%

gefilled_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

swdfilled_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

eligibility_prog5
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing482
Missing (%)99.6%
Memory size15.4 KiB
2023-12-09T22:32:47.868924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length41
Mean length41
Min length37

Characters and Unicode

Total characters82
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowOpen to students residing in the zone
2nd rowOpen to students and residents of District 13
ValueCountFrequency (%)
open 2
13.3%
to 2
13.3%
students 2
13.3%
residing 1
6.7%
in 1
6.7%
the 1
6.7%
zone 1
6.7%
and 1
6.7%
residents 1
6.7%
of 1
6.7%
Other values (2) 2
13.3%
2023-12-09T22:32:48.191488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
15.9%
t 10
12.2%
e 9
11.0%
n 9
11.0%
s 8
9.8%
i 6
7.3%
d 5
 
6.1%
o 4
 
4.9%
r 3
 
3.7%
p 2
 
2.4%
Other values (11) 13
15.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 64
78.0%
Space Separator 13
 
15.9%
Uppercase Letter 3
 
3.7%
Decimal Number 2
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 10
15.6%
e 9
14.1%
n 9
14.1%
s 8
12.5%
i 6
9.4%
d 5
7.8%
o 4
 
6.2%
r 3
 
4.7%
p 2
 
3.1%
u 2
 
3.1%
Other values (6) 6
9.4%
Uppercase Letter
ValueCountFrequency (%)
O 2
66.7%
D 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 67
81.7%
Common 15
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 10
14.9%
e 9
13.4%
n 9
13.4%
s 8
11.9%
i 6
9.0%
d 5
7.5%
o 4
 
6.0%
r 3
 
4.5%
p 2
 
3.0%
O 2
 
3.0%
Other values (8) 9
13.4%
Common
ValueCountFrequency (%)
13
86.7%
1 1
 
6.7%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
15.9%
t 10
12.2%
e 9
11.0%
n 9
11.0%
s 8
9.8%
i 6
7.3%
d 5
 
6.1%
o 4
 
4.9%
r 3
 
3.7%
p 2
 
2.4%
Other values (11) 13
15.9%

priority1_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority2_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority3_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority4_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority5_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

lowestpriority_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria1_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria2_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria3_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria4_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria5_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria6_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria7_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

code_prog6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:48.356980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters15
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTalent Programs
ValueCountFrequency (%)
talent 1
50.0%
programs 1
50.0%
2023-12-09T22:32:48.625461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2
13.3%
r 2
13.3%
T 1
 
6.7%
l 1
 
6.7%
e 1
 
6.7%
n 1
 
6.7%
t 1
 
6.7%
1
 
6.7%
P 1
 
6.7%
o 1
 
6.7%
Other values (3) 3
20.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12
80.0%
Uppercase Letter 2
 
13.3%
Space Separator 1
 
6.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2
16.7%
r 2
16.7%
l 1
8.3%
e 1
8.3%
n 1
8.3%
t 1
8.3%
o 1
8.3%
g 1
8.3%
m 1
8.3%
s 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14
93.3%
Common 1
 
6.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2
14.3%
r 2
14.3%
T 1
7.1%
l 1
7.1%
e 1
7.1%
n 1
7.1%
t 1
7.1%
P 1
7.1%
o 1
7.1%
g 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2
13.3%
r 2
13.3%
T 1
 
6.7%
l 1
 
6.7%
e 1
 
6.7%
n 1
 
6.7%
t 1
 
6.7%
1
 
6.7%
P 1
 
6.7%
o 1
 
6.7%
Other values (3) 3
20.0%

name_prog6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:48.808449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length40
Median length40
Mean length40
Min length40

Characters and Unicode

Total characters40
Distinct characters25
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowDavid A. Boody (I.S. 228) Magnet Program
ValueCountFrequency (%)
david 1
14.3%
a 1
14.3%
boody 1
14.3%
i.s 1
14.3%
228 1
14.3%
magnet 1
14.3%
program 1
14.3%
2023-12-09T22:32:49.119686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
15.0%
. 3
 
7.5%
o 3
 
7.5%
a 3
 
7.5%
r 2
 
5.0%
d 2
 
5.0%
g 2
 
5.0%
2 2
 
5.0%
D 1
 
2.5%
) 1
 
2.5%
Other values (15) 15
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 19
47.5%
Uppercase Letter 7
 
17.5%
Space Separator 6
 
15.0%
Other Punctuation 3
 
7.5%
Decimal Number 3
 
7.5%
Close Punctuation 1
 
2.5%
Open Punctuation 1
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 3
15.8%
a 3
15.8%
r 2
10.5%
d 2
10.5%
g 2
10.5%
t 1
 
5.3%
e 1
 
5.3%
n 1
 
5.3%
y 1
 
5.3%
i 1
 
5.3%
Other values (2) 2
10.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
14.3%
P 1
14.3%
M 1
14.3%
I 1
14.3%
S 1
14.3%
B 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26
65.0%
Common 14
35.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 3
 
11.5%
a 3
 
11.5%
r 2
 
7.7%
d 2
 
7.7%
g 2
 
7.7%
D 1
 
3.8%
P 1
 
3.8%
t 1
 
3.8%
e 1
 
3.8%
n 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
6
42.9%
. 3
21.4%
2 2
 
14.3%
) 1
 
7.1%
8 1
 
7.1%
( 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
 
15.0%
. 3
 
7.5%
o 3
 
7.5%
a 3
 
7.5%
r 2
 
5.0%
d 2
 
5.0%
g 2
 
5.0%
2 2
 
5.0%
D 1
 
2.5%
) 1
 
2.5%
Other values (15) 15
37.5%

admissionsmethod_prog6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:49.272613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters11
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowTalent Test
ValueCountFrequency (%)
talent 1
50.0%
test 1
50.0%
2023-12-09T22:32:49.533004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 2
18.2%
e 2
18.2%
t 2
18.2%
a 1
9.1%
l 1
9.1%
n 1
9.1%
1
9.1%
s 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8
72.7%
Uppercase Letter 2
 
18.2%
Space Separator 1
 
9.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
t 2
25.0%
a 1
12.5%
l 1
12.5%
n 1
12.5%
s 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
T 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10
90.9%
Common 1
 
9.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
T 2
20.0%
e 2
20.0%
t 2
20.0%
a 1
10.0%
l 1
10.0%
n 1
10.0%
s 1
10.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T 2
18.2%
e 2
18.2%
t 2
18.2%
a 1
9.1%
l 1
9.1%
n 1
9.1%
1
9.1%
s 1
9.1%

geapps_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

swdapps_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

geappsperseat_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

swdappsperseat_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

swdseats_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

geseats_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

gefilled_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

swdfilled_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

eligibility_prog6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.3 KiB
2023-12-09T22:32:49.718555image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length45
Median length45
Mean length45
Min length45

Characters and Unicode

Total characters45
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowOpen to students and residents of District 21
ValueCountFrequency (%)
open 1
12.5%
to 1
12.5%
students 1
12.5%
and 1
12.5%
residents 1
12.5%
of 1
12.5%
district 1
12.5%
21 1
12.5%
2023-12-09T22:32:50.017110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
15.6%
t 6
13.3%
s 5
11.1%
e 4
8.9%
n 4
8.9%
d 3
 
6.7%
i 3
 
6.7%
o 2
 
4.4%
r 2
 
4.4%
f 1
 
2.2%
Other values (8) 8
17.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 34
75.6%
Space Separator 7
 
15.6%
Decimal Number 2
 
4.4%
Uppercase Letter 2
 
4.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 6
17.6%
s 5
14.7%
e 4
11.8%
n 4
11.8%
d 3
8.8%
i 3
8.8%
o 2
 
5.9%
r 2
 
5.9%
f 1
 
2.9%
c 1
 
2.9%
Other values (3) 3
8.8%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
O 1
50.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36
80.0%
Common 9
 
20.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 6
16.7%
s 5
13.9%
e 4
11.1%
n 4
11.1%
d 3
8.3%
i 3
8.3%
o 2
 
5.6%
r 2
 
5.6%
f 1
 
2.8%
c 1
 
2.8%
Other values (5) 5
13.9%
Common
ValueCountFrequency (%)
7
77.8%
2 1
 
11.1%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
15.6%
t 6
13.3%
s 5
11.1%
e 4
8.9%
n 4
8.9%
d 3
 
6.7%
i 3
 
6.7%
o 2
 
4.4%
r 2
 
4.4%
f 1
 
2.2%
Other values (8) 8
17.8%

priority1_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority2_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority3_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority4_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority5_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority6_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

priority7_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

prefnote_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

lowestpriority_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria1_prog6
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing483
Missing (%)99.8%
Memory size15.4 KiB
2023-12-09T22:32:50.218946image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length120
Median length120
Mean length120
Min length120

Characters and Unicode

Total characters120
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowStudents who apply to these programs will be selected based on their score on the District 21 Talent Tests. See page XX.
ValueCountFrequency (%)
on 2
 
9.1%
their 1
 
4.5%
page 1
 
4.5%
see 1
 
4.5%
tests 1
 
4.5%
talent 1
 
4.5%
21 1
 
4.5%
district 1
 
4.5%
the 1
 
4.5%
score 1
 
4.5%
Other values (11) 11
50.0%
2023-12-09T22:32:50.534998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
17.5%
e 16
13.3%
t 11
 
9.2%
s 9
 
7.5%
o 6
 
5.0%
l 5
 
4.2%
r 5
 
4.2%
a 5
 
4.2%
n 4
 
3.3%
i 4
 
3.3%
Other values (17) 34
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 88
73.3%
Space Separator 21
 
17.5%
Uppercase Letter 7
 
5.8%
Other Punctuation 2
 
1.7%
Decimal Number 2
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 16
18.2%
t 11
12.5%
s 9
10.2%
o 6
 
6.8%
l 5
 
5.7%
r 5
 
5.7%
a 5
 
5.7%
n 4
 
4.5%
i 4
 
4.5%
h 4
 
4.5%
Other values (9) 19
21.6%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
S 2
28.6%
X 2
28.6%
D 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 95
79.2%
Common 25
 
20.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 16
16.8%
t 11
11.6%
s 9
 
9.5%
o 6
 
6.3%
l 5
 
5.3%
r 5
 
5.3%
a 5
 
5.3%
n 4
 
4.2%
i 4
 
4.2%
h 4
 
4.2%
Other values (13) 26
27.4%
Common
ValueCountFrequency (%)
21
84.0%
. 2
 
8.0%
2 1
 
4.0%
1 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
17.5%
e 16
13.3%
t 11
 
9.2%
s 9
 
7.5%
o 6
 
5.0%
l 5
 
4.2%
r 5
 
4.2%
a 5
 
4.2%
n 4
 
3.3%
i 4
 
3.3%
Other values (17) 34
28.3%

selectioncriteria2_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria3_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria4_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria5_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria6_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria7_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria8_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria9_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria10_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria11_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

selectioncriteria12_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

revealed_prog6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing484
Missing (%)100.0%
Memory size3.9 KiB

coursepassrate
Text

MISSING 

Distinct34
Distinct (%)15.7%
Missing268
Missing (%)55.4%
Memory size21.0 KiB
2023-12-09T22:32:50.753501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.055555556
Min length2

Characters and Unicode

Total characters444
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)5.6%

Sample

1st row87
2nd row98
3rd row83
4th row99
5th row90
ValueCountFrequency (%)
99 27
12.5%
98 22
 
10.2%
95 16
 
7.4%
96 15
 
6.9%
97 15
 
6.9%
94 13
 
6.0%
100 12
 
5.6%
90 11
 
5.1%
89 9
 
4.2%
93 9
 
4.2%
Other values (24) 67
31.0%
2023-12-09T22:32:51.085616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 180
40.5%
8 76
17.1%
0 38
 
8.6%
7 36
 
8.1%
6 23
 
5.2%
1 23
 
5.2%
5 20
 
4.5%
3 19
 
4.3%
4 17
 
3.8%
2 12
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 444
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 180
40.5%
8 76
17.1%
0 38
 
8.6%
7 36
 
8.1%
6 23
 
5.2%
1 23
 
5.2%
5 20
 
4.5%
3 19
 
4.3%
4 17
 
3.8%
2 12
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 180
40.5%
8 76
17.1%
0 38
 
8.6%
7 36
 
8.1%
6 23
 
5.2%
1 23
 
5.2%
5 20
 
4.5%
3 19
 
4.3%
4 17
 
3.8%
2 12
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 180
40.5%
8 76
17.1%
0 38
 
8.6%
7 36
 
8.1%
6 23
 
5.2%
1 23
 
5.2%
5 20
 
4.5%
3 19
 
4.3%
4 17
 
3.8%
2 12
 
2.7%

elaprof
Text

MISSING 

Distinct74
Distinct (%)34.3%
Missing268
Missing (%)55.4%
Memory size20.9 KiB
2023-12-09T22:32:51.391245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.958333333
Min length1

Characters and Unicode

Total characters423
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)12.0%

Sample

1st row12
2nd row20
3rd row13
4th row42
5th row15
ValueCountFrequency (%)
26 7
 
3.2%
24 7
 
3.2%
23 7
 
3.2%
19 7
 
3.2%
20 7
 
3.2%
14 7
 
3.2%
11 6
 
2.8%
21 6
 
2.8%
22 6
 
2.8%
25 6
 
2.8%
Other values (64) 150
69.4%
2023-12-09T22:32:51.813065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 75
17.7%
1 72
17.0%
4 52
12.3%
3 51
12.1%
5 51
12.1%
6 34
8.0%
9 27
 
6.4%
0 22
 
5.2%
8 22
 
5.2%
7 17
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 423
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 75
17.7%
1 72
17.0%
4 52
12.3%
3 51
12.1%
5 51
12.1%
6 34
8.0%
9 27
 
6.4%
0 22
 
5.2%
8 22
 
5.2%
7 17
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 75
17.7%
1 72
17.0%
4 52
12.3%
3 51
12.1%
5 51
12.1%
6 34
8.0%
9 27
 
6.4%
0 22
 
5.2%
8 22
 
5.2%
7 17
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 75
17.7%
1 72
17.0%
4 52
12.3%
3 51
12.1%
5 51
12.1%
6 34
8.0%
9 27
 
6.4%
0 22
 
5.2%
8 22
 
5.2%
7 17
 
4.0%

mathprof
Text

MISSING 

Distinct80
Distinct (%)37.0%
Missing268
Missing (%)55.4%
Memory size20.9 KiB
2023-12-09T22:32:52.120482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.810185185
Min length1

Characters and Unicode

Total characters391
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)12.5%

Sample

1st row17
2nd row12
3rd row7
4th row42
5th row19
ValueCountFrequency (%)
7 10
 
4.6%
10 10
 
4.6%
17 8
 
3.7%
16 6
 
2.8%
13 6
 
2.8%
3 5
 
2.3%
4 5
 
2.3%
9 5
 
2.3%
18 5
 
2.3%
39 5
 
2.3%
Other values (70) 151
69.9%
2023-12-09T22:32:52.554168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 70
17.9%
3 50
12.8%
4 43
11.0%
5 41
10.5%
7 40
10.2%
2 40
10.2%
6 34
8.7%
0 27
 
6.9%
9 24
 
6.1%
8 22
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 391
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 70
17.9%
3 50
12.8%
4 43
11.0%
5 41
10.5%
7 40
10.2%
2 40
10.2%
6 34
8.7%
0 27
 
6.9%
9 24
 
6.1%
8 22
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Common 391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 70
17.9%
3 50
12.8%
4 43
11.0%
5 41
10.5%
7 40
10.2%
2 40
10.2%
6 34
8.7%
0 27
 
6.9%
9 24
 
6.1%
8 22
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 70
17.9%
3 50
12.8%
4 43
11.0%
5 41
10.5%
7 40
10.2%
2 40
10.2%
6 34
8.7%
0 27
 
6.9%
9 24
 
6.1%
8 22
 
5.6%

tophs1
Text

MISSING 

Distinct240
Distinct (%)51.9%
Missing22
Missing (%)4.5%
Memory size42.1 KiB
2023-12-09T22:32:52.916119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length78
Median length58.5
Mean length34.4047619
Min length11

Characters and Unicode

Total characters15895
Distinct characters68
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)30.7%

Sample

1st rowThe College Academy
2nd rowHigh School for Environmental Studies
3rd rowHigh School for Law and Public Service
4th rowArt and Design High School
5th rowUrban Assembly Gateway School for Technology
ValueCountFrequency (%)
school 375
 
15.7%
high 292
 
12.2%
for 103
 
4.3%
and 85
 
3.6%
academy 84
 
3.5%
of 46
 
1.9%
the 42
 
1.8%
bronx 33
 
1.4%
college 32
 
1.3%
science 32
 
1.3%
Other values (345) 1267
53.0%
2023-12-09T22:32:53.456537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1929
 
12.1%
o 1499
 
9.4%
e 1078
 
6.8%
h 943
 
5.9%
a 910
 
5.7%
i 862
 
5.4%
n 819
 
5.2%
l 812
 
5.1%
c 789
 
5.0%
r 787
 
5.0%
Other values (58) 5467
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11639
73.2%
Uppercase Letter 2171
 
13.7%
Space Separator 1929
 
12.1%
Other Punctuation 117
 
0.7%
Decimal Number 20
 
0.1%
Dash Punctuation 7
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1499
12.9%
e 1078
9.3%
h 943
 
8.1%
a 910
 
7.8%
i 862
 
7.4%
n 819
 
7.0%
l 812
 
7.0%
c 789
 
6.8%
r 787
 
6.8%
t 532
 
4.6%
Other values (16) 2608
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 514
23.7%
H 373
17.2%
A 187
 
8.6%
C 163
 
7.5%
B 119
 
5.5%
M 110
 
5.1%
T 93
 
4.3%
L 83
 
3.8%
P 74
 
3.4%
E 72
 
3.3%
Other values (14) 383
17.6%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
3 4
20.0%
6 2
 
10.0%
1 2
 
10.0%
4 2
 
10.0%
7 2
 
10.0%
0 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 53
45.3%
, 34
29.1%
: 15
 
12.8%
' 7
 
6.0%
& 5
 
4.3%
/ 3
 
2.6%
Space Separator
ValueCountFrequency (%)
1929
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13810
86.9%
Common 2085
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1499
 
10.9%
e 1078
 
7.8%
h 943
 
6.8%
a 910
 
6.6%
i 862
 
6.2%
n 819
 
5.9%
l 812
 
5.9%
c 789
 
5.7%
r 787
 
5.7%
t 532
 
3.9%
Other values (40) 4779
34.6%
Common
ValueCountFrequency (%)
1929
92.5%
. 53
 
2.5%
, 34
 
1.6%
: 15
 
0.7%
- 7
 
0.3%
' 7
 
0.3%
2 6
 
0.3%
( 6
 
0.3%
) 6
 
0.3%
& 5
 
0.2%
Other values (8) 17
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1929
 
12.1%
o 1499
 
9.4%
e 1078
 
6.8%
h 943
 
5.9%
a 910
 
5.7%
i 862
 
5.4%
n 819
 
5.2%
l 812
 
5.1%
c 789
 
5.0%
r 787
 
5.0%
Other values (58) 5467
34.4%

tophs2
Text

MISSING 

Distinct155
Distinct (%)47.4%
Missing157
Missing (%)32.4%
Memory size34.2 KiB
2023-12-09T22:32:53.814284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length88
Median length62
Mean length34.40672783
Min length15

Characters and Unicode

Total characters11251
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)24.2%

Sample

1st rowManhattan Village Academy
2nd rowHigh School for Law and Public Service
3rd rowA. Philip Randolph Campus High School
4th rowHarvest Collegiate High School
5th rowA. Philip Randolph Campus High School
ValueCountFrequency (%)
school 288
 
16.8%
high 265
 
15.5%
and 65
 
3.8%
for 58
 
3.4%
academy 36
 
2.1%
of 33
 
1.9%
the 30
 
1.8%
arts 27
 
1.6%
science 23
 
1.3%
technical 23
 
1.3%
Other values (265) 865
50.5%
2023-12-09T22:32:54.355168image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1386
 
12.3%
o 1082
 
9.6%
h 763
 
6.8%
e 684
 
6.1%
i 683
 
6.1%
a 592
 
5.3%
c 585
 
5.2%
n 578
 
5.1%
l 559
 
5.0%
r 528
 
4.7%
Other values (52) 3811
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8188
72.8%
Uppercase Letter 1566
 
13.9%
Space Separator 1386
 
12.3%
Other Punctuation 97
 
0.9%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1082
13.2%
h 763
9.3%
e 684
 
8.4%
i 683
 
8.3%
a 592
 
7.2%
c 585
 
7.1%
n 578
 
7.1%
l 559
 
6.8%
r 528
 
6.4%
g 369
 
4.5%
Other values (16) 1765
21.6%
Uppercase Letter
ValueCountFrequency (%)
S 370
23.6%
H 322
20.6%
C 110
 
7.0%
A 110
 
7.0%
T 87
 
5.6%
B 81
 
5.2%
M 70
 
4.5%
E 56
 
3.6%
L 44
 
2.8%
R 39
 
2.5%
Other values (14) 277
17.7%
Other Punctuation
ValueCountFrequency (%)
. 55
56.7%
, 23
23.7%
& 12
 
12.4%
: 6
 
6.2%
/ 1
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
1386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9754
86.7%
Common 1497
 
13.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1082
 
11.1%
h 763
 
7.8%
e 684
 
7.0%
i 683
 
7.0%
a 592
 
6.1%
c 585
 
6.0%
n 578
 
5.9%
l 559
 
5.7%
r 528
 
5.4%
S 370
 
3.8%
Other values (40) 3330
34.1%
Common
ValueCountFrequency (%)
1386
92.6%
. 55
 
3.7%
, 23
 
1.5%
& 12
 
0.8%
: 6
 
0.4%
( 4
 
0.3%
) 4
 
0.3%
- 3
 
0.2%
/ 1
 
0.1%
1 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1386
 
12.3%
o 1082
 
9.6%
h 763
 
6.8%
e 684
 
6.1%
i 683
 
6.1%
a 592
 
5.3%
c 585
 
5.2%
n 578
 
5.1%
l 559
 
5.0%
r 528
 
4.7%
Other values (52) 3811
33.9%

tophs3
Text

MISSING 

Distinct132
Distinct (%)52.6%
Missing233
Missing (%)48.1%
Memory size29.7 KiB
2023-12-09T22:32:54.782858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length73
Median length56
Mean length34.10358566
Min length16

Characters and Unicode

Total characters8560
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)28.7%

Sample

1st rowThe College Academy
2nd rowHigh School for Environmental Studies
3rd rowThe High School of Fashion Industries
4th rowBusiness Of Sports School
5th rowBeacon High School
ValueCountFrequency (%)
school 222
 
17.3%
high 199
 
15.5%
and 46
 
3.6%
for 45
 
3.5%
academy 37
 
2.9%
technical 28
 
2.2%
brooklyn 22
 
1.7%
of 20
 
1.6%
technology 15
 
1.2%
the 15
 
1.2%
Other values (233) 631
49.3%
2023-12-09T22:32:55.382905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1029
 
12.0%
o 864
 
10.1%
h 560
 
6.5%
i 512
 
6.0%
e 501
 
5.9%
l 477
 
5.6%
a 449
 
5.2%
c 441
 
5.2%
n 430
 
5.0%
r 400
 
4.7%
Other values (49) 2897
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6268
73.2%
Uppercase Letter 1191
 
13.9%
Space Separator 1029
 
12.0%
Other Punctuation 61
 
0.7%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 864
13.8%
h 560
8.9%
i 512
 
8.2%
e 501
 
8.0%
l 477
 
7.6%
a 449
 
7.2%
c 441
 
7.0%
n 430
 
6.9%
r 400
 
6.4%
g 290
 
4.6%
Other values (16) 1344
21.4%
Uppercase Letter
ValueCountFrequency (%)
S 280
23.5%
H 230
19.3%
A 82
 
6.9%
C 78
 
6.5%
T 77
 
6.5%
B 67
 
5.6%
M 53
 
4.5%
E 52
 
4.4%
I 41
 
3.4%
P 36
 
3.0%
Other values (14) 195
16.4%
Other Punctuation
ValueCountFrequency (%)
. 40
65.6%
, 12
 
19.7%
& 5
 
8.2%
: 4
 
6.6%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
1029
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7459
87.1%
Common 1101
 
12.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 864
 
11.6%
h 560
 
7.5%
i 512
 
6.9%
e 501
 
6.7%
l 477
 
6.4%
a 449
 
6.0%
c 441
 
5.9%
n 430
 
5.8%
r 400
 
5.4%
g 290
 
3.9%
Other values (40) 2535
34.0%
Common
ValueCountFrequency (%)
1029
93.5%
. 40
 
3.6%
, 12
 
1.1%
& 5
 
0.5%
( 4
 
0.4%
: 4
 
0.4%
) 4
 
0.4%
2 2
 
0.2%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1029
 
12.0%
o 864
 
10.1%
h 560
 
6.5%
i 512
 
6.0%
e 501
 
5.9%
l 477
 
5.6%
a 449
 
5.2%
c 441
 
5.2%
n 430
 
5.0%
r 400
 
4.7%
Other values (49) 2897
33.8%

surveysafety
Text

MISSING 

Distinct41
Distinct (%)19.0%
Missing268
Missing (%)55.4%
Memory size20.9 KiB
2023-12-09T22:32:55.634932image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.00462963
Min length2

Characters and Unicode

Total characters433
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)3.2%

Sample

1st row89
2nd row80
3rd row67
4th row97
5th row91
ValueCountFrequency (%)
84 14
 
6.5%
82 12
 
5.6%
86 12
 
5.6%
87 12
 
5.6%
88 11
 
5.1%
83 10
 
4.6%
91 10
 
4.6%
95 10
 
4.6%
80 9
 
4.2%
85 9
 
4.2%
Other values (31) 107
49.5%
2023-12-09T22:32:55.993118image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 120
27.7%
9 75
17.3%
7 64
14.8%
6 39
 
9.0%
5 27
 
6.2%
4 24
 
5.5%
0 24
 
5.5%
2 22
 
5.1%
1 20
 
4.6%
3 18
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 433
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 120
27.7%
9 75
17.3%
7 64
14.8%
6 39
 
9.0%
5 27
 
6.2%
4 24
 
5.5%
0 24
 
5.5%
2 22
 
5.1%
1 20
 
4.6%
3 18
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
Common 433
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 120
27.7%
9 75
17.3%
7 64
14.8%
6 39
 
9.0%
5 27
 
6.2%
4 24
 
5.5%
0 24
 
5.5%
2 22
 
5.1%
1 20
 
4.6%
3 18
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 433
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 120
27.7%
9 75
17.3%
7 64
14.8%
6 39
 
9.0%
5 27
 
6.2%
4 24
 
5.5%
0 24
 
5.5%
2 22
 
5.1%
1 20
 
4.6%
3 18
 
4.2%

totalstudents
Text

MISSING 

Distinct178
Distinct (%)81.7%
Missing266
Missing (%)55.0%
Memory size21.2 KiB
2023-12-09T22:32:56.489264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.142201835
Min length2

Characters and Unicode

Total characters685
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)65.1%

Sample

1st row139
2nd row332
3rd row316
4th row294
5th row246
ValueCountFrequency (%)
166 3
 
1.4%
251 3
 
1.4%
246 3
 
1.4%
167 3
 
1.4%
162 2
 
0.9%
212 2
 
0.9%
250 2
 
0.9%
180 2
 
0.9%
286 2
 
0.9%
1508 2
 
0.9%
Other values (168) 194
89.0%
2023-12-09T22:32:57.129387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 139
20.3%
2 113
16.5%
3 82
12.0%
5 57
8.3%
4 55
 
8.0%
6 54
 
7.9%
9 51
 
7.4%
8 50
 
7.3%
7 43
 
6.3%
0 41
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 685
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 139
20.3%
2 113
16.5%
3 82
12.0%
5 57
8.3%
4 55
 
8.0%
6 54
 
7.9%
9 51
 
7.4%
8 50
 
7.3%
7 43
 
6.3%
0 41
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Common 685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 139
20.3%
2 113
16.5%
3 82
12.0%
5 57
8.3%
4 55
 
8.0%
6 54
 
7.9%
9 51
 
7.4%
8 50
 
7.3%
7 43
 
6.3%
0 41
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 139
20.3%
2 113
16.5%
3 82
12.0%
5 57
8.3%
4 55
 
8.0%
6 54
 
7.9%
9 51
 
7.4%
8 50
 
7.3%
7 43
 
6.3%
0 41
 
6.0%
Distinct15
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size30.3 KiB
2023-12-09T22:32:57.320621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length60
Median length6
Mean length6.929752066
Min length6

Characters and Unicode

Total characters3354
Distinct characters37
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)1.7%

Sample

1st rowGR K-8
2nd rowGR 6-8
3rd rowGR 6-8
4th rowGR K-8
5th rowGR 6-8
ValueCountFrequency (%)
gr 484
47.6%
6-8 261
25.7%
pk-8 97
 
9.5%
6-12 77
 
7.6%
k-8 40
 
3.9%
will 6
 
0.6%
fall 6
 
0.6%
by 6
 
0.6%
serve 6
 
0.6%
grades 6
 
0.6%
Other values (13) 28
 
2.8%
2023-12-09T22:32:57.631443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
533
15.9%
- 490
14.6%
G 484
14.4%
R 484
14.4%
8 403
12.0%
6 343
10.2%
K 143
 
4.3%
P 101
 
3.0%
2 89
 
2.7%
1 85
 
2.5%
Other values (27) 199
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 1224
36.5%
Decimal Number 943
28.1%
Space Separator 533
15.9%
Dash Punctuation 490
14.6%
Lowercase Letter 150
 
4.5%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 30
20.0%
e 18
12.0%
o 12
 
8.0%
r 12
 
8.0%
s 12
 
8.0%
a 12
 
8.0%
b 6
 
4.0%
y 6
 
4.0%
d 6
 
4.0%
g 6
 
4.0%
Other values (5) 30
20.0%
Decimal Number
ValueCountFrequency (%)
8 403
42.7%
6 343
36.4%
2 89
 
9.4%
1 85
 
9.0%
0 8
 
0.8%
9 6
 
0.6%
7 3
 
0.3%
5 3
 
0.3%
4 2
 
0.2%
3 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
G 484
39.5%
R 484
39.5%
K 143
 
11.7%
P 101
 
8.3%
F 6
 
0.5%
S 6
 
0.5%
Other Punctuation
ValueCountFrequency (%)
; 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
533
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 490
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1980
59.0%
Latin 1374
41.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
G 484
35.2%
R 484
35.2%
K 143
 
10.4%
P 101
 
7.4%
l 30
 
2.2%
e 18
 
1.3%
o 12
 
0.9%
r 12
 
0.9%
s 12
 
0.9%
a 12
 
0.9%
Other values (11) 66
 
4.8%
Common
ValueCountFrequency (%)
533
26.9%
- 490
24.7%
8 403
20.4%
6 343
17.3%
2 89
 
4.5%
1 85
 
4.3%
0 8
 
0.4%
9 6
 
0.3%
) 6
 
0.3%
( 6
 
0.3%
Other values (6) 11
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
533
15.9%
- 490
14.6%
G 484
14.4%
R 484
14.4%
8 403
12.0%
6 343
10.2%
K 143
 
4.3%
P 101
 
3.0%
2 89
 
2.7%
1 85
 
2.5%
Other values (27) 199
 
5.9%
Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
2023-12-09T22:32:57.758661image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length32
Median length2
Mean length2.17768595
Min length2

Characters and Unicode

Total characters1054
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 427
87.5%
yes 57
 
11.7%
harlem 1
 
0.2%
children's 1
 
0.2%
zone 1
 
0.2%
inc 1
 
0.2%
2023-12-09T22:32:57.997814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 428
40.6%
N 427
40.5%
e 60
 
5.7%
s 58
 
5.5%
Y 57
 
5.4%
4
 
0.4%
n 3
 
0.3%
r 2
 
0.2%
l 2
 
0.2%
, 2
 
0.2%
Other values (11) 11
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 559
53.0%
Uppercase Letter 488
46.3%
Space Separator 4
 
0.4%
Other Punctuation 3
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 428
76.6%
e 60
 
10.7%
s 58
 
10.4%
n 3
 
0.5%
r 2
 
0.4%
l 2
 
0.4%
a 1
 
0.2%
m 1
 
0.2%
h 1
 
0.2%
i 1
 
0.2%
Other values (2) 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 427
87.5%
Y 57
 
11.7%
H 1
 
0.2%
C 1
 
0.2%
Z 1
 
0.2%
I 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1047
99.3%
Common 7
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 428
40.9%
N 427
40.8%
e 60
 
5.7%
s 58
 
5.5%
Y 57
 
5.4%
n 3
 
0.3%
r 2
 
0.2%
l 2
 
0.2%
a 1
 
0.1%
H 1
 
0.1%
Other values (8) 8
 
0.8%
Common
ValueCountFrequency (%)
4
57.1%
, 2
28.6%
' 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 428
40.6%
N 427
40.5%
e 60
 
5.7%
s 58
 
5.5%
Y 57
 
5.4%
4
 
0.4%
n 3
 
0.3%
r 2
 
0.2%
l 2
 
0.2%
, 2
 
0.2%
Other values (11) 11
 
1.0%
Distinct116
Distinct (%)24.1%
Missing3
Missing (%)0.6%
Memory size32.4 KiB
2023-12-09T22:32:58.377793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.53846154
Min length3

Characters and Unicode

Total characters5550
Distinct characters26
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)16.6%

Sample

1st row8am-2:20pm
2nd row8am-2:20pm
3rd row8am-2:20pm
4th row8am-2:20pm
5th row8:40am-3pm
ValueCountFrequency (%)
8am-2:20pm 153
31.7%
8:10am-2:30pm 52
 
10.8%
8:20am-2:40pm 50
 
10.4%
8:15am-2:35pm 21
 
4.4%
8:30am-2:50pm 14
 
2.9%
8:05am-2:25pm 10
 
2.1%
8am-3:20pm 7
 
1.5%
8am-2:50pm 7
 
1.5%
8:40am-3pm 7
 
1.5%
8:25am-2:45pm 6
 
1.2%
Other values (106) 155
32.2%
2023-12-09T22:32:58.878327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
m 956
17.2%
: 729
13.1%
2 653
11.8%
0 561
10.1%
a 480
8.6%
- 480
8.6%
p 477
8.6%
8 447
8.1%
3 229
 
4.1%
5 222
 
4.0%
Other values (16) 316
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2417
43.5%
Lowercase Letter 1917
34.5%
Other Punctuation 729
 
13.1%
Dash Punctuation 480
 
8.6%
Uppercase Letter 6
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 653
27.0%
0 561
23.2%
8 447
18.5%
3 229
 
9.5%
5 222
 
9.2%
1 123
 
5.1%
4 120
 
5.0%
7 35
 
1.4%
9 18
 
0.7%
6 9
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
m 956
49.9%
a 480
25.0%
p 477
24.9%
r 1
 
0.1%
i 1
 
0.1%
e 1
 
0.1%
s 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
V 1
16.7%
P 1
16.7%
M 1
16.7%
T 1
16.7%
B 1
16.7%
D 1
16.7%
Other Punctuation
ValueCountFrequency (%)
: 729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3627
65.4%
Latin 1923
34.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
m 956
49.7%
a 480
25.0%
p 477
24.8%
V 1
 
0.1%
r 1
 
0.1%
i 1
 
0.1%
e 1
 
0.1%
s 1
 
0.1%
P 1
 
0.1%
M 1
 
0.1%
Other values (3) 3
 
0.2%
Common
ValueCountFrequency (%)
: 729
20.1%
2 653
18.0%
0 561
15.5%
- 480
13.2%
8 447
12.3%
3 229
 
6.3%
5 222
 
6.1%
1 123
 
3.4%
4 120
 
3.3%
7 35
 
1.0%
Other values (3) 28
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
m 956
17.2%
: 729
13.1%
2 653
11.8%
0 561
10.1%
a 480
8.6%
- 480
8.6%
p 477
8.6%
8 447
8.1%
3 229
 
4.1%
5 222
 
4.0%
Other values (16) 316
 
5.7%
Distinct25
Distinct (%)5.2%
Missing1
Missing (%)0.2%
Memory size40.2 KiB
2023-12-09T22:32:59.081423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length53
Median length52
Mean length12.14492754
Min length2

Characters and Unicode

Total characters5866
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)1.7%

Sample

1st rowYes
2nd rowYes–Official uniform must be purchased
3rd rowYes
4th rowNo
5th rowYes
ValueCountFrequency (%)
yes 237
22.3%
no 133
12.5%
or 77
 
7.3%
and 74
 
7.0%
colors 74
 
7.0%
styles 74
 
7.0%
yes–top 73
 
6.9%
bottom 48
 
4.5%
specific 43
 
4.1%
uniform 35
 
3.3%
Other values (19) 193
18.2%
2023-12-09T22:32:59.415744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 743
12.7%
o 645
 
11.0%
611
 
10.4%
e 583
 
9.9%
Y 349
 
5.9%
c 301
 
5.1%
i 261
 
4.4%
t 258
 
4.4%
r 224
 
3.8%
l 194
 
3.3%
Other values (23) 1697
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4426
75.5%
Space Separator 611
 
10.4%
Uppercase Letter 596
 
10.2%
Dash Punctuation 146
 
2.5%
Other Punctuation 87
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 743
16.8%
o 645
14.6%
e 583
13.2%
c 301
 
6.8%
i 261
 
5.9%
t 258
 
5.8%
r 224
 
5.1%
l 194
 
4.4%
p 189
 
4.3%
f 180
 
4.1%
Other values (9) 848
19.2%
Uppercase Letter
ValueCountFrequency (%)
Y 349
58.6%
N 133
 
22.3%
T 78
 
13.1%
O 34
 
5.7%
B 1
 
0.2%
D 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 34
39.1%
; 32
36.8%
. 19
21.8%
? 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
101
69.2%
- 35
 
24.0%
10
 
6.8%
Space Separator
ValueCountFrequency (%)
611
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5022
85.6%
Common 844
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 743
14.8%
o 645
12.8%
e 583
11.6%
Y 349
 
6.9%
c 301
 
6.0%
i 261
 
5.2%
t 258
 
5.1%
r 224
 
4.5%
l 194
 
3.9%
p 189
 
3.8%
Other values (15) 1275
25.4%
Common
ValueCountFrequency (%)
611
72.4%
101
 
12.0%
- 35
 
4.1%
, 34
 
4.0%
; 32
 
3.8%
. 19
 
2.3%
10
 
1.2%
? 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5755
98.1%
Punctuation 111
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 743
12.9%
o 645
11.2%
611
 
10.6%
e 583
 
10.1%
Y 349
 
6.1%
c 301
 
5.2%
i 261
 
4.5%
t 258
 
4.5%
r 224
 
3.9%
l 194
 
3.4%
Other values (21) 1586
27.6%
Punctuation
ValueCountFrequency (%)
101
91.0%
10
 
9.0%
Distinct19
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size42.7 KiB
2023-12-09T22:32:59.616274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length173
Median length25
Mean length33.00619835
Min length25

Characters and Unicode

Total characters15975
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)2.9%

Sample

1st rowEnglish as a New Language, Dual Language: Spanish, Transitional Bilingual Education: Spanish
2nd rowEnglish as a New Language, Transitional Bilingual Education: Spanish
3rd rowEnglish as a New Language, Transitional Bilingual Education: Spanish
4th rowEnglish as a New Language
5th rowEnglish as a New Language
ValueCountFrequency (%)
language 531
18.8%
english 484
17.2%
as 484
17.2%
a 484
17.2%
new 484
17.2%
spanish 91
 
3.2%
transitional 63
 
2.2%
bilingual 63
 
2.2%
education 63
 
2.2%
dual 47
 
1.7%
Other values (8) 25
 
0.9%
2023-12-09T22:32:59.950945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2435
15.2%
2335
14.6%
g 1610
10.1%
n 1375
8.6%
s 1131
 
7.1%
e 1046
 
6.5%
i 912
 
5.7%
l 727
 
4.6%
u 705
 
4.4%
h 584
 
3.7%
Other values (22) 3115
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11569
72.4%
Space Separator 2335
 
14.6%
Uppercase Letter 1851
 
11.6%
Other Punctuation 220
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2435
21.0%
g 1610
13.9%
n 1375
11.9%
s 1131
9.8%
e 1046
9.0%
i 912
 
7.9%
l 727
 
6.3%
u 705
 
6.1%
h 584
 
5.0%
w 485
 
4.2%
Other values (7) 559
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
E 547
29.6%
L 531
28.7%
N 484
26.1%
S 91
 
4.9%
B 64
 
3.5%
T 63
 
3.4%
D 47
 
2.5%
C 13
 
0.7%
H 7
 
0.4%
F 2
 
0.1%
Other values (2) 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 110
50.0%
, 110
50.0%
Space Separator
ValueCountFrequency (%)
2335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 13420
84.0%
Common 2555
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2435
18.1%
g 1610
12.0%
n 1375
10.2%
s 1131
8.4%
e 1046
7.8%
i 912
 
6.8%
l 727
 
5.4%
u 705
 
5.3%
h 584
 
4.4%
E 547
 
4.1%
Other values (19) 2348
17.5%
Common
ValueCountFrequency (%)
2335
91.4%
: 110
 
4.3%
, 110
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 2435
15.2%
2335
14.6%
g 1610
10.1%
n 1375
8.6%
s 1131
 
7.1%
e 1046
 
6.5%
i 912
 
5.7%
l 727
 
4.6%
u 705
 
4.4%
h 584
 
3.7%
Other values (22) 3115
19.5%
Distinct12
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size42.9 KiB
2023-12-09T22:33:00.142936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length38
Median length36
Mean length10.44214876
Min length2

Characters and Unicode

Total characters5054
Distinct characters37
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st rowYes–31-50 hours expected by graduation
2nd rowYes–Expected
3rd rowYes–10-30 hours expected by graduation
4th rowYes–31-50 hours expected by graduation
5th rowNo
ValueCountFrequency (%)
no 221
30.2%
yes–offered 90
12.3%
yes–expected 74
 
10.1%
hours 62
 
8.5%
expected 62
 
8.5%
by 62
 
8.5%
graduation 62
 
8.5%
yes–10-30 32
 
4.4%
yes—offered 27
 
3.7%
yes–50 13
 
1.8%
Other values (7) 28
 
3.8%
2023-12-09T22:33:00.455786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 847
16.8%
o 345
 
6.8%
s 324
 
6.4%
d 323
 
6.4%
Y 262
 
5.2%
249
 
4.9%
r 242
 
4.8%
f 234
 
4.6%
N 221
 
4.4%
221
 
4.4%
Other values (27) 1786
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3575
70.7%
Uppercase Letter 686
 
13.6%
Dash Punctuation 309
 
6.1%
Space Separator 249
 
4.9%
Decimal Number 220
 
4.4%
Math Symbol 14
 
0.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 847
23.7%
o 345
9.7%
s 324
 
9.1%
d 323
 
9.0%
r 242
 
6.8%
f 234
 
6.5%
t 207
 
5.8%
c 144
 
4.0%
p 144
 
4.0%
x 144
 
4.0%
Other values (9) 621
17.4%
Uppercase Letter
ValueCountFrequency (%)
Y 262
38.2%
N 221
32.2%
O 117
17.1%
E 82
 
12.0%
A 1
 
0.1%
T 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 98
44.5%
3 48
21.8%
1 48
21.8%
5 26
 
11.8%
Dash Punctuation
ValueCountFrequency (%)
221
71.5%
- 48
 
15.5%
40
 
12.9%
Space Separator
ValueCountFrequency (%)
249
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4261
84.3%
Common 793
 
15.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 847
19.9%
o 345
 
8.1%
s 324
 
7.6%
d 323
 
7.6%
Y 262
 
6.1%
r 242
 
5.7%
f 234
 
5.5%
N 221
 
5.2%
t 207
 
4.9%
c 144
 
3.4%
Other values (17) 1112
26.1%
Common
ValueCountFrequency (%)
249
31.4%
221
27.9%
0 98
 
12.4%
3 48
 
6.1%
- 48
 
6.1%
1 48
 
6.1%
40
 
5.0%
5 26
 
3.3%
+ 14
 
1.8%
, 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4792
94.8%
Punctuation 261
 
5.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 847
17.7%
o 345
 
7.2%
s 324
 
6.8%
d 323
 
6.7%
Y 262
 
5.5%
249
 
5.2%
r 242
 
5.1%
f 234
 
4.9%
N 221
 
4.6%
t 207
 
4.3%
Other values (24) 1538
32.1%
Punctuation
ValueCountFrequency (%)
221
84.7%
40
 
15.3%
None
ValueCountFrequency (%)
é 1
100.0%
Distinct9
Distinct (%)1.9%
Missing3
Missing (%)0.6%
Memory size33.9 KiB
2023-12-09T22:33:00.631095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length28
Median length3
Mean length5.823284823
Min length2

Characters and Unicode

Total characters2801
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes–After-School
ValueCountFrequency (%)
yes 304
61.3%
yes–after-school 85
 
17.1%
no 73
 
14.7%
yes–before 8
 
1.6%
yes–before-school 7
 
1.4%
and 7
 
1.4%
after-school 7
 
1.4%
yes—after-school 3
 
0.6%
school 1
 
0.2%
tbd 1
 
0.2%
2023-12-09T22:33:00.919508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 532
19.0%
s 408
14.6%
Y 407
14.5%
o 294
10.5%
f 110
 
3.9%
r 110
 
3.9%
- 109
 
3.9%
c 103
 
3.7%
l 103
 
3.7%
h 103
 
3.7%
Other values (13) 522
18.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1880
67.1%
Uppercase Letter 694
 
24.8%
Dash Punctuation 212
 
7.6%
Space Separator 15
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 532
28.3%
s 408
21.7%
o 294
15.6%
f 110
 
5.9%
r 110
 
5.9%
c 103
 
5.5%
l 103
 
5.5%
h 103
 
5.5%
t 95
 
5.1%
a 8
 
0.4%
Other values (2) 14
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
Y 407
58.6%
S 102
 
14.7%
A 94
 
13.5%
N 73
 
10.5%
B 16
 
2.3%
T 1
 
0.1%
D 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 109
51.4%
100
47.2%
3
 
1.4%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2574
91.9%
Common 227
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 532
20.7%
s 408
15.9%
Y 407
15.8%
o 294
11.4%
f 110
 
4.3%
r 110
 
4.3%
c 103
 
4.0%
l 103
 
4.0%
h 103
 
4.0%
S 102
 
4.0%
Other values (9) 302
11.7%
Common
ValueCountFrequency (%)
- 109
48.0%
100
44.1%
15
 
6.6%
3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2698
96.3%
Punctuation 103
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 532
19.7%
s 408
15.1%
Y 407
15.1%
o 294
10.9%
f 110
 
4.1%
r 110
 
4.1%
- 109
 
4.0%
c 103
 
3.8%
l 103
 
3.8%
h 103
 
3.8%
Other values (11) 419
15.5%
Punctuation
ValueCountFrequency (%)
100
97.1%
3
 
2.9%
Distinct15
Distinct (%)3.1%
Missing1
Missing (%)0.2%
Memory size46.5 KiB
2023-12-09T22:33:01.121182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length71
Median length70
Mean length16.93581781
Min length2

Characters and Unicode

Total characters8180
Distinct characters28
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowNo
2nd rowYes–Academic support for certain students.
3rd rowYes–Academic support for certain students.
4th rowNo
5th rowYes
ValueCountFrequency (%)
no 177
14.3%
support 153
12.3%
yes 134
10.8%
and 120
9.7%
yes–academic 110
8.9%
for 93
7.5%
enrichment 90
7.3%
students 63
 
5.1%
certain 63
 
5.1%
incoming 48
 
3.9%
Other values (7) 188
15.2%
2023-12-09T22:33:01.462755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 812
 
9.9%
756
 
9.2%
s 680
 
8.3%
r 543
 
6.6%
n 522
 
6.4%
o 519
 
6.3%
c 507
 
6.2%
t 480
 
5.9%
i 450
 
5.5%
a 414
 
5.1%
Other values (18) 2497
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6499
79.4%
Space Separator 756
 
9.2%
Uppercase Letter 656
 
8.0%
Dash Punctuation 171
 
2.1%
Other Punctuation 98
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 812
12.5%
s 680
10.5%
r 543
8.4%
n 522
8.0%
o 519
8.0%
c 507
7.8%
t 480
7.4%
i 450
 
6.9%
a 414
 
6.4%
d 384
 
5.9%
Other values (7) 1188
18.3%
Uppercase Letter
ValueCountFrequency (%)
Y 305
46.5%
N 177
27.0%
A 123
18.8%
F 48
 
7.3%
T 1
 
0.2%
B 1
 
0.2%
D 1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
153
89.5%
18
 
10.5%
Space Separator
ValueCountFrequency (%)
756
100.0%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7155
87.5%
Common 1025
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 812
11.3%
s 680
 
9.5%
r 543
 
7.6%
n 522
 
7.3%
o 519
 
7.3%
c 507
 
7.1%
t 480
 
6.7%
i 450
 
6.3%
a 414
 
5.8%
d 384
 
5.4%
Other values (14) 1844
25.8%
Common
ValueCountFrequency (%)
756
73.8%
153
 
14.9%
. 98
 
9.6%
18
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8009
97.9%
Punctuation 171
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 812
 
10.1%
756
 
9.4%
s 680
 
8.5%
r 543
 
6.8%
n 522
 
6.5%
o 519
 
6.5%
c 507
 
6.3%
t 480
 
6.0%
i 450
 
5.6%
a 414
 
5.2%
Other values (16) 2326
29.0%
Punctuation
ValueCountFrequency (%)
153
89.5%
18
 
10.5%
Distinct13
Distinct (%)2.7%
Missing1
Missing (%)0.2%
Memory size50.0 KiB
2023-12-09T22:33:01.660177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length57
Median length56
Mean length18.64182195
Min length2

Characters and Unicode

Total characters9004
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st rowNo
2nd rowYes–Saturday program for certain students
3rd rowYes–Saturday program for academic support and enrichment
4th rowYes–Saturday program
5th rowYes
ValueCountFrequency (%)
program 244
19.1%
yes–saturday 212
16.6%
no 158
12.3%
for 139
10.9%
yes 80
 
6.2%
academic 68
 
5.3%
support 68
 
5.3%
and 68
 
5.3%
enrichment 68
 
5.3%
test 57
 
4.5%
Other values (5) 118
9.2%
2023-12-09T22:33:01.979362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 1078
12.0%
a 950
 
10.6%
797
 
8.9%
e 670
 
7.4%
o 609
 
6.8%
t 536
 
6.0%
p 494
 
5.5%
s 477
 
5.3%
d 394
 
4.4%
m 380
 
4.2%
Other values (17) 2619
29.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7209
80.1%
Space Separator 797
 
8.9%
Uppercase Letter 729
 
8.1%
Dash Punctuation 244
 
2.7%
Other Punctuation 25
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 1078
15.0%
a 950
13.2%
e 670
9.3%
o 609
8.4%
t 536
7.4%
p 494
 
6.9%
s 477
 
6.6%
d 394
 
5.5%
m 380
 
5.3%
u 326
 
4.5%
Other values (7) 1295
18.0%
Uppercase Letter
ValueCountFrequency (%)
Y 324
44.4%
S 244
33.5%
N 158
21.7%
T 1
 
0.1%
B 1
 
0.1%
D 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
212
86.9%
32
 
13.1%
Space Separator
ValueCountFrequency (%)
797
100.0%
Other Punctuation
ValueCountFrequency (%)
. 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7938
88.2%
Common 1066
 
11.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 1078
13.6%
a 950
12.0%
e 670
 
8.4%
o 609
 
7.7%
t 536
 
6.8%
p 494
 
6.2%
s 477
 
6.0%
d 394
 
5.0%
m 380
 
4.8%
u 326
 
4.1%
Other values (13) 2024
25.5%
Common
ValueCountFrequency (%)
797
74.8%
212
 
19.9%
32
 
3.0%
. 25
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8760
97.3%
Punctuation 244
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 1078
12.3%
a 950
 
10.8%
797
 
9.1%
e 670
 
7.6%
o 609
 
7.0%
t 536
 
6.1%
p 494
 
5.6%
s 477
 
5.4%
d 394
 
4.5%
m 380
 
4.3%
Other values (15) 2375
27.1%
Punctuation
ValueCountFrequency (%)
212
86.9%
32
 
13.1%

languageclasses
Text

MISSING 

Distinct32
Distinct (%)8.8%
Missing120
Missing (%)24.8%
Memory size27.4 KiB
2023-12-09T22:33:02.176999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length59
Median length7
Mean length9.236263736
Min length3

Characters and Unicode

Total characters3362
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)5.2%

Sample

1st rowFrench, Spanish
2nd rowSpanish
3rd rowSpanish
4th rowSpanish
5th rowSpanish
ValueCountFrequency (%)
spanish 315
67.5%
french 34
 
7.3%
italian 26
 
5.6%
mandarin 17
 
3.6%
latin 16
 
3.4%
language 15
 
3.2%
american 8
 
1.7%
sign 8
 
1.7%
other 7
 
1.5%
korean 5
 
1.1%
Other values (14) 16
 
3.4%
2023-12-09T22:33:02.527617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 471
14.0%
n 471
14.0%
i 397
11.8%
h 356
10.6%
S 323
9.6%
s 322
9.6%
p 316
9.4%
103
 
3.1%
e 83
 
2.5%
r 77
 
2.3%
Other values (27) 443
13.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2717
80.8%
Uppercase Letter 467
 
13.9%
Space Separator 103
 
3.1%
Other Punctuation 75
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 471
17.3%
n 471
17.3%
i 397
14.6%
h 356
13.1%
s 322
11.9%
p 316
11.6%
e 83
 
3.1%
r 77
 
2.8%
t 55
 
2.0%
c 44
 
1.6%
Other values (9) 125
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
S 323
69.2%
F 34
 
7.3%
L 31
 
6.6%
I 26
 
5.6%
M 17
 
3.6%
A 11
 
2.4%
O 7
 
1.5%
K 5
 
1.1%
B 2
 
0.4%
D 2
 
0.4%
Other values (6) 9
 
1.9%
Space Separator
ValueCountFrequency (%)
103
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3184
94.7%
Common 178
 
5.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 471
14.8%
n 471
14.8%
i 397
12.5%
h 356
11.2%
S 323
10.1%
s 322
10.1%
p 316
9.9%
e 83
 
2.6%
r 77
 
2.4%
t 55
 
1.7%
Other values (25) 313
9.8%
Common
ValueCountFrequency (%)
103
57.9%
, 75
42.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3362
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 471
14.0%
n 471
14.0%
i 397
11.8%
h 356
10.6%
S 323
9.6%
s 322
9.6%
p 316
9.4%
103
 
3.1%
e 83
 
2.5%
r 77
 
2.3%
Other values (27) 443
13.2%

acceleratedclasses
Text

MISSING 

Distinct53
Distinct (%)15.3%
Missing138
Missing (%)28.5%
Memory size33.6 KiB
2023-12-09T22:33:02.725344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length108
Median length73
Mean length29.43063584
Min length6

Characters and Unicode

Total characters10183
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)8.1%

Sample

1st rowAlgebra I
2nd rowAlgebra I, French, Spanish
3rd rowAlgebra I, Living Environment
4th rowAlgebra I
5th rowAlgebra I, Living Environment
ValueCountFrequency (%)
algebra 314
21.3%
i 312
21.2%
living 214
14.5%
environment 214
14.5%
spanish 85
 
5.8%
science 69
 
4.7%
history 69
 
4.7%
earth 68
 
4.6%
us 62
 
4.2%
english 18
 
1.2%
Other values (18) 49
 
3.3%
2023-12-09T22:33:03.077405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1128
 
11.1%
n 1053
 
10.3%
i 898
 
8.8%
e 700
 
6.9%
r 684
 
6.7%
g 548
 
5.4%
a 498
 
4.9%
, 456
 
4.5%
v 428
 
4.2%
t 373
 
3.7%
Other values (24) 3417
33.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7064
69.4%
Uppercase Letter 1535
 
15.1%
Space Separator 1128
 
11.1%
Other Punctuation 456
 
4.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 1053
14.9%
i 898
12.7%
e 700
9.9%
r 684
9.7%
g 548
7.8%
a 498
7.0%
v 428
 
6.1%
t 373
 
5.3%
l 357
 
5.1%
b 321
 
4.5%
Other values (9) 1204
17.0%
Uppercase Letter
ValueCountFrequency (%)
I 325
21.2%
A 315
20.5%
E 301
19.6%
L 216
14.1%
S 216
14.1%
H 69
 
4.5%
U 62
 
4.0%
G 15
 
1.0%
F 10
 
0.7%
C 3
 
0.2%
Other values (3) 3
 
0.2%
Space Separator
ValueCountFrequency (%)
1128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 456
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8599
84.4%
Common 1584
 
15.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 1053
 
12.2%
i 898
 
10.4%
e 700
 
8.1%
r 684
 
8.0%
g 548
 
6.4%
a 498
 
5.8%
v 428
 
5.0%
t 373
 
4.3%
l 357
 
4.2%
I 325
 
3.8%
Other values (22) 2735
31.8%
Common
ValueCountFrequency (%)
1128
71.2%
, 456
28.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10183
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1128
 
11.1%
n 1053
 
10.3%
i 898
 
8.8%
e 700
 
6.9%
r 684
 
6.7%
g 548
 
5.4%
a 498
 
4.9%
, 456
 
4.5%
v 428
 
4.2%
t 373
 
3.7%
Other values (24) 3417
33.6%

electiveclasses
Text

MISSING 

Distinct403
Distinct (%)99.0%
Missing77
Missing (%)15.9%
Memory size71.1 KiB
2023-12-09T22:33:03.442316image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length499
Median length219
Mean length114.5945946
Min length3

Characters and Unicode

Total characters46640
Distinct characters77
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique401 ?
Unique (%)98.5%

Sample

1st rowGroup tutoring sessions in preparation for Specialized High Schools
2nd rowArts, Band, Computer Science, ELA Saturday Academy, French, Graphic Design, Math Saturday Academy, One to One Tutoring, Spanish, Specialized High School Test Preparation, Title III Programs to Support English Language Development
3rd rowArt, Coding, Robotics
4th rowAdvisory, Art, Instrumental Music, Spanish
5th rowArt, Music, Physical Education, Regents Algebra, Regents Living Environment, Spanish
ValueCountFrequency (%)
art 199
 
3.3%
music 183
 
3.0%
arts 176
 
2.9%
dance 154
 
2.5%
and 152
 
2.5%
visual 133
 
2.2%
technology 110
 
1.8%
band 98
 
1.6%
drama 72
 
1.2%
science 72
 
1.2%
Other values (1181) 4758
77.9%
2023-12-09T22:33:03.988857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5709
 
12.2%
e 3576
 
7.7%
a 2894
 
6.2%
i 2715
 
5.8%
n 2700
 
5.8%
r 2686
 
5.8%
t 2451
 
5.3%
o 2378
 
5.1%
, 2325
 
5.0%
s 2162
 
4.6%
Other values (67) 17044
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32328
69.3%
Space Separator 5709
 
12.2%
Uppercase Letter 5628
 
12.1%
Other Punctuation 2542
 
5.5%
Open Punctuation 131
 
0.3%
Close Punctuation 131
 
0.3%
Dash Punctuation 87
 
0.2%
Decimal Number 84
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3576
11.1%
a 2894
 
9.0%
i 2715
 
8.4%
n 2700
 
8.4%
r 2686
 
8.3%
t 2451
 
7.6%
o 2378
 
7.4%
s 2162
 
6.7%
c 1601
 
5.0%
l 1455
 
4.5%
Other values (17) 7710
23.8%
Uppercase Letter
ValueCountFrequency (%)
A 651
11.6%
S 629
11.2%
C 560
 
10.0%
M 460
 
8.2%
D 407
 
7.2%
P 378
 
6.7%
T 370
 
6.6%
E 330
 
5.9%
L 223
 
4.0%
R 202
 
3.6%
Other values (16) 1418
25.2%
Decimal Number
ValueCountFrequency (%)
0 24
28.6%
3 18
21.4%
1 14
16.7%
8 6
 
7.1%
2 6
 
7.1%
4 6
 
7.1%
7 3
 
3.6%
6 3
 
3.6%
5 2
 
2.4%
9 2
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 2325
91.5%
/ 56
 
2.2%
: 45
 
1.8%
. 42
 
1.7%
; 30
 
1.2%
& 26
 
1.0%
' 13
 
0.5%
" 4
 
0.2%
! 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 86
98.9%
1
 
1.1%
Space Separator
ValueCountFrequency (%)
5709
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37956
81.4%
Common 8684
 
18.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3576
 
9.4%
a 2894
 
7.6%
i 2715
 
7.2%
n 2700
 
7.1%
r 2686
 
7.1%
t 2451
 
6.5%
o 2378
 
6.3%
s 2162
 
5.7%
c 1601
 
4.2%
l 1455
 
3.8%
Other values (43) 13338
35.1%
Common
ValueCountFrequency (%)
5709
65.7%
, 2325
26.8%
( 131
 
1.5%
) 131
 
1.5%
- 86
 
1.0%
/ 56
 
0.6%
: 45
 
0.5%
. 42
 
0.5%
; 30
 
0.3%
& 26
 
0.3%
Other values (14) 103
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46638
> 99.9%
None 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5709
 
12.2%
e 3576
 
7.7%
a 2894
 
6.2%
i 2715
 
5.8%
n 2700
 
5.8%
r 2686
 
5.8%
t 2451
 
5.3%
o 2378
 
5.1%
, 2325
 
5.0%
s 2162
 
4.6%
Other values (65) 17042
36.5%
None
ValueCountFrequency (%)
ñ 1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

activities
Text

MISSING 

Distinct475
Distinct (%)100.0%
Missing9
Missing (%)1.9%
Memory size155.3 KiB
2023-12-09T22:33:04.348747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length525
Median length368
Mean length272.56
Min length13

Characters and Unicode

Total characters129466
Distinct characters84
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique475 ?
Unique (%)100.0%

Sample

1st rowCHALK ; CHAMPS Basketball and Volleyball ; Chess ; Chorus ; Computers ; East Side House Settlement-After-School ; Inquiry-Based Learning ; LINC Parent Program ; Literacy Inc. (school-wide tutoring) ; Mental Health and Wellness ; Move to Improve ; Parent Cooking Classes ; Robotics ; Rosie's Theatre Grade Five ; School Band ; School Wellness ; SEA Theatre ; STEM Program ; Waterford Early Learning K-2 ; Yoga
2nd rowAfter-School Band ; Band ; Computer Science ; Film and New Media ; Guitar Club ; iBook Creation ; Robotics ; Stop Motion Animation ; Tiger Advisory ; Tiger Tech Team ; Urban Advantage ; Video Game Design ; Yearbook ; Young Ambassador Program
3rd rowAcademic After-School Program ; Books and Movies Club ; Girl Talk Club ; Jewelry Club ; Mixed Media Club ; Morning Tutoring Program ; Robotics Club
4th rowArt Club ; Choir ; Concert Band; High School Prep ; High School Test Prep ; Intramural sports ; LEGO Club ; Musical ; Role Playing Games ; School Dances ; TACHs Prep ; Talent Show
5th rowAfter-School All Stars (comprehensive after-school program) ; America Scores New York ; Choir ; CITYarts ; Cooking ; Creative Art Works ; DJ Club ; Google Computer Science ; Homework Help Club and Study Hall ; Martial Arts ; Orchestra ; Student Council
ValueCountFrequency (%)
5661
26.1%
club 624
 
2.9%
program 406
 
1.9%
and 380
 
1.8%
student 267
 
1.2%
dance 243
 
1.1%
arts 227
 
1.0%
team 205
 
0.9%
school 195
 
0.9%
after-school 189
 
0.9%
Other values (2537) 13296
61.3%
2023-12-09T22:33:04.927452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21231
16.4%
e 9400
 
7.3%
o 7329
 
5.7%
r 7228
 
5.6%
a 7121
 
5.5%
n 6461
 
5.0%
i 6399
 
4.9%
t 6310
 
4.9%
; 5593
 
4.3%
s 4600
 
3.6%
Other values (74) 47794
36.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 83712
64.7%
Space Separator 21231
 
16.4%
Uppercase Letter 16899
 
13.1%
Other Punctuation 6427
 
5.0%
Dash Punctuation 440
 
0.3%
Open Punctuation 279
 
0.2%
Close Punctuation 279
 
0.2%
Decimal Number 191
 
0.1%
Final Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9400
11.2%
o 7329
 
8.8%
r 7228
 
8.6%
a 7121
 
8.5%
n 6461
 
7.7%
i 6399
 
7.6%
t 6310
 
7.5%
s 4600
 
5.5%
l 4344
 
5.2%
c 3383
 
4.0%
Other values (17) 21137
25.2%
Uppercase Letter
ValueCountFrequency (%)
C 2324
13.8%
S 2278
13.5%
A 1493
 
8.8%
P 1294
 
7.7%
T 1167
 
6.9%
M 1019
 
6.0%
D 850
 
5.0%
B 793
 
4.7%
G 617
 
3.7%
E 608
 
3.6%
Other values (16) 4456
26.4%
Other Punctuation
ValueCountFrequency (%)
; 5593
87.0%
, 300
 
4.7%
/ 170
 
2.6%
. 102
 
1.6%
: 97
 
1.5%
& 87
 
1.4%
' 72
 
1.1%
! 2
 
< 0.1%
% 2
 
< 0.1%
* 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 48
25.1%
3 43
22.5%
2 28
14.7%
5 21
11.0%
1 16
 
8.4%
4 12
 
6.3%
8 7
 
3.7%
9 7
 
3.7%
6 6
 
3.1%
7 3
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 437
99.3%
2
 
0.5%
1
 
0.2%
Final Punctuation
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Space Separator
ValueCountFrequency (%)
21231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 279
100.0%
Close Punctuation
ValueCountFrequency (%)
) 279
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 100611
77.7%
Common 28855
 
22.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9400
 
9.3%
o 7329
 
7.3%
r 7228
 
7.2%
a 7121
 
7.1%
n 6461
 
6.4%
i 6399
 
6.4%
t 6310
 
6.3%
s 4600
 
4.6%
l 4344
 
4.3%
c 3383
 
3.4%
Other values (43) 38036
37.8%
Common
ValueCountFrequency (%)
21231
73.6%
; 5593
 
19.4%
- 437
 
1.5%
, 300
 
1.0%
( 279
 
1.0%
) 279
 
1.0%
/ 170
 
0.6%
. 102
 
0.4%
: 97
 
0.3%
& 87
 
0.3%
Other values (21) 280
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129455
> 99.9%
Punctuation 9
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21231
16.4%
e 9400
 
7.3%
o 7329
 
5.7%
r 7228
 
5.6%
a 7121
 
5.5%
n 6461
 
5.0%
i 6399
 
4.9%
t 6310
 
4.9%
; 5593
 
4.3%
s 4600
 
3.6%
Other values (68) 47783
36.9%
Punctuation
ValueCountFrequency (%)
4
44.4%
2
22.2%
1
 
11.1%
1
 
11.1%
1
 
11.1%
None
ValueCountFrequency (%)
ñ 2
100.0%

champsboys
Text

MISSING 

Distinct23
Distinct (%)19.7%
Missing367
Missing (%)75.8%
Memory size20.3 KiB
2023-12-09T22:33:05.139575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length53
Median length37
Mean length19.13675214
Min length6

Characters and Unicode

Total characters2239
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)8.5%

Sample

1st rowBasketball League
2nd rowBasketball League, Flag Football
3rd rowCross Country, Track and Field
4th rowFlag Football
5th rowDevelopmental Basketball
ValueCountFrequency (%)
basketball 76
26.8%
league 60
21.1%
boys 29
 
10.2%
flag 23
 
8.1%
football 21
 
7.4%
baseball 16
 
5.6%
developmental 13
 
4.6%
fitness 11
 
3.9%
club 11
 
3.9%
soccer 6
 
2.1%
Other values (12) 18
 
6.3%
2023-12-09T22:33:05.485664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 308
13.8%
l 296
13.2%
e 275
12.3%
167
 
7.5%
s 148
 
6.6%
b 129
 
5.8%
t 124
 
5.5%
B 121
 
5.4%
o 98
 
4.4%
g 85
 
3.8%
Other values (22) 488
21.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1767
78.9%
Uppercase Letter 282
 
12.6%
Space Separator 167
 
7.5%
Other Punctuation 23
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 308
17.4%
l 296
16.8%
e 275
15.6%
s 148
8.4%
b 129
7.3%
t 124
7.0%
o 98
 
5.5%
g 85
 
4.8%
k 79
 
4.5%
u 75
 
4.2%
Other values (9) 150
8.5%
Uppercase Letter
ValueCountFrequency (%)
B 121
42.9%
L 60
21.3%
F 58
20.6%
C 15
 
5.3%
D 13
 
4.6%
S 6
 
2.1%
T 4
 
1.4%
R 2
 
0.7%
V 1
 
0.4%
H 1
 
0.4%
Space Separator
ValueCountFrequency (%)
167
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2049
91.5%
Common 190
 
8.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 308
15.0%
l 296
14.4%
e 275
13.4%
s 148
 
7.2%
b 129
 
6.3%
t 124
 
6.1%
B 121
 
5.9%
o 98
 
4.8%
g 85
 
4.1%
k 79
 
3.9%
Other values (20) 386
18.8%
Common
ValueCountFrequency (%)
167
87.9%
, 23
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 308
13.8%
l 296
13.2%
e 275
12.3%
167
 
7.5%
s 148
 
6.6%
b 129
 
5.8%
t 124
 
5.5%
B 121
 
5.4%
o 98
 
4.4%
g 85
 
3.8%
Other values (22) 488
21.8%

champsgirls
Text

MISSING 

Distinct37
Distinct (%)32.7%
Missing371
Missing (%)76.7%
Memory size20.1 KiB
2023-12-09T22:33:05.700957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length61
Median length48
Mean length18.85840708
Min length4

Characters and Unicode

Total characters2131
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)22.1%

Sample

1st rowVolleyball
2nd rowDance, Volleyball League
3rd rowCross Country, Track and Field
4th rowBasketball League
5th rowDance
ValueCountFrequency (%)
volleyball 60
23.3%
league 57
22.1%
basketball 36
14.0%
girls 31
12.0%
developmental 9
 
3.5%
softball 8
 
3.1%
dance 8
 
3.1%
track 5
 
1.9%
field 5
 
1.9%
and 5
 
1.9%
Other values (17) 34
13.2%
2023-12-09T22:33:06.057498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 402
18.9%
e 271
12.7%
a 240
11.3%
145
 
6.8%
b 114
 
5.3%
o 92
 
4.3%
s 81
 
3.8%
g 67
 
3.1%
t 66
 
3.1%
u 65
 
3.1%
Other values (24) 588
27.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1705
80.0%
Uppercase Letter 253
 
11.9%
Space Separator 145
 
6.8%
Other Punctuation 28
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 402
23.6%
e 271
15.9%
a 240
14.1%
b 114
 
6.7%
o 92
 
5.4%
s 81
 
4.8%
g 67
 
3.9%
t 66
 
3.9%
u 65
 
3.8%
y 63
 
3.7%
Other values (11) 244
14.3%
Uppercase Letter
ValueCountFrequency (%)
V 60
23.7%
L 57
22.5%
B 38
15.0%
G 32
12.6%
D 19
 
7.5%
F 16
 
6.3%
S 13
 
5.1%
C 9
 
3.6%
T 6
 
2.4%
Y 2
 
0.8%
Space Separator
ValueCountFrequency (%)
145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1958
91.9%
Common 173
 
8.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 402
20.5%
e 271
13.8%
a 240
12.3%
b 114
 
5.8%
o 92
 
4.7%
s 81
 
4.1%
g 67
 
3.4%
t 66
 
3.4%
u 65
 
3.3%
y 63
 
3.2%
Other values (22) 497
25.4%
Common
ValueCountFrequency (%)
145
83.8%
, 28
 
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2131
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 402
18.9%
e 271
12.7%
a 240
11.3%
145
 
6.8%
b 114
 
5.3%
o 92
 
4.3%
s 81
 
3.8%
g 67
 
3.1%
t 66
 
3.1%
u 65
 
3.1%
Other values (24) 588
27.6%

champscoed
Text

MISSING 

Distinct163
Distinct (%)52.2%
Missing172
Missing (%)35.5%
Memory size31.6 KiB
2023-12-09T22:33:06.308182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length93
Median length61
Mean length28.73076923
Min length4

Characters and Unicode

Total characters8964
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)37.5%

Sample

1st rowDevelopmental Basketball, Fitness Club, Flag Football
2nd rowDevelopmental Basketball, Fitness Club, Flag Football
3rd rowBaseball, Fitness Club, Soccer
4th rowDevelopmental Basketball, Flag Football, Volleyball
5th rowCross Country, Track and Field, Volleyball
ValueCountFrequency (%)
fitness 110
 
9.4%
club 110
 
9.4%
flag 102
 
8.7%
basketball 87
 
7.4%
football 85
 
7.3%
soccer 76
 
6.5%
volleyball 73
 
6.2%
developmental 62
 
5.3%
track 55
 
4.7%
field 55
 
4.7%
Other values (38) 353
30.2%
2023-12-09T22:33:06.727648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 1161
13.0%
857
 
9.6%
e 768
 
8.6%
a 760
 
8.5%
o 551
 
6.1%
t 439
 
4.9%
b 427
 
4.8%
s 408
 
4.6%
F 371
 
4.1%
n 360
 
4.0%
Other values (36) 2862
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6615
73.8%
Uppercase Letter 1115
 
12.4%
Space Separator 857
 
9.6%
Other Punctuation 363
 
4.0%
Dash Punctuation 8
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 1161
17.6%
e 768
11.6%
a 760
11.5%
o 551
8.3%
t 439
 
6.6%
b 427
 
6.5%
s 408
 
6.2%
n 360
 
5.4%
c 261
 
3.9%
r 231
 
3.5%
Other values (12) 1249
18.9%
Uppercase Letter
ValueCountFrequency (%)
F 371
33.3%
C 169
15.2%
B 112
 
10.0%
S 102
 
9.1%
D 95
 
8.5%
T 87
 
7.8%
V 73
 
6.5%
H 29
 
2.6%
L 23
 
2.1%
R 17
 
1.5%
Other values (8) 37
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 360
99.2%
& 3
 
0.8%
Space Separator
ValueCountFrequency (%)
857
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7730
86.2%
Common 1234
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 1161
15.0%
e 768
 
9.9%
a 760
 
9.8%
o 551
 
7.1%
t 439
 
5.7%
b 427
 
5.5%
s 408
 
5.3%
F 371
 
4.8%
n 360
 
4.7%
c 261
 
3.4%
Other values (30) 2224
28.8%
Common
ValueCountFrequency (%)
857
69.4%
, 360
29.2%
- 8
 
0.6%
& 3
 
0.2%
( 3
 
0.2%
) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 1161
13.0%
857
 
9.6%
e 768
 
8.6%
a 760
 
8.5%
o 551
 
6.1%
t 439
 
4.9%
b 427
 
4.8%
s 408
 
4.6%
F 371
 
4.1%
n 360
 
4.0%
Other values (36) 2862
31.9%

othersports
Text

MISSING 

Distinct350
Distinct (%)79.9%
Missing46
Missing (%)9.5%
Memory size45.7 KiB
2023-12-09T22:33:07.019839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length256
Median length85.5
Mean length46.10273973
Min length5

Characters and Unicode

Total characters20193
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)71.9%

Sample

1st rowFlag Football
2nd rowSoccer, Track and Field, Volleyball
3rd rowBasketball, Fitness, Soccer, Volleyball, Wiffle Ball
4th rowBasketball, Track and Field
5th rowBaseball, Boxing Club, Cheerleading, Golf Club, Softball
ValueCountFrequency (%)
basketball 369
 
14.8%
soccer 177
 
7.1%
track 149
 
6.0%
and 149
 
6.0%
football 142
 
5.7%
volleyball 130
 
5.2%
field 125
 
5.0%
flag 121
 
4.8%
baseball 89
 
3.6%
cheerleading 85
 
3.4%
Other values (197) 965
38.6%
2023-12-09T22:33:07.481586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2501
 
12.4%
2067
 
10.2%
a 2063
 
10.2%
e 1625
 
8.0%
, 1212
 
6.0%
b 920
 
4.6%
o 920
 
4.6%
t 855
 
4.2%
s 850
 
4.2%
r 696
 
3.4%
Other values (53) 6484
32.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14532
72.0%
Uppercase Letter 2314
 
11.5%
Space Separator 2067
 
10.2%
Other Punctuation 1237
 
6.1%
Dash Punctuation 14
 
0.1%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l 2501
17.2%
a 2063
14.2%
e 1625
11.2%
b 920
 
6.3%
o 920
 
6.3%
t 855
 
5.9%
s 850
 
5.8%
r 696
 
4.8%
n 658
 
4.5%
c 654
 
4.5%
Other values (15) 2790
19.2%
Uppercase Letter
ValueCountFrequency (%)
B 529
22.9%
F 441
19.1%
S 326
14.1%
T 230
9.9%
C 175
 
7.6%
V 136
 
5.9%
D 100
 
4.3%
G 72
 
3.1%
R 45
 
1.9%
H 37
 
1.6%
Other values (14) 223
9.6%
Other Punctuation
ValueCountFrequency (%)
, 1212
98.0%
: 8
 
0.6%
& 6
 
0.5%
. 6
 
0.5%
/ 3
 
0.2%
' 2
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 2
40.0%
1 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
92.9%
1
 
7.1%
Space Separator
ValueCountFrequency (%)
2067
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16846
83.4%
Common 3347
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
l 2501
14.8%
a 2063
12.2%
e 1625
 
9.6%
b 920
 
5.5%
o 920
 
5.5%
t 855
 
5.1%
s 850
 
5.0%
r 696
 
4.1%
n 658
 
3.9%
c 654
 
3.9%
Other values (39) 5104
30.3%
Common
ValueCountFrequency (%)
2067
61.8%
, 1212
36.2%
- 13
 
0.4%
( 12
 
0.4%
) 12
 
0.4%
: 8
 
0.2%
& 6
 
0.2%
. 6
 
0.2%
/ 3
 
0.1%
' 2
 
0.1%
Other values (4) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20192
> 99.9%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l 2501
 
12.4%
2067
 
10.2%
a 2063
 
10.2%
e 1625
 
8.0%
, 1212
 
6.0%
b 920
 
4.6%
o 920
 
4.6%
t 855
 
4.2%
s 850
 
4.2%
r 696
 
3.4%
Other values (52) 6483
32.1%
Punctuation
ValueCountFrequency (%)
1
100.0%
Distinct150
Distinct (%)31.2%
Missing3
Missing (%)0.6%
Memory size29.3 KiB
2023-12-09T22:33:07.860122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2405
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)8.7%

Sample

1st row10034
2nd row10034
3rd row10033
4th row10040
5th row10031
ValueCountFrequency (%)
10457 15
 
3.1%
10456 14
 
2.9%
10029 11
 
2.3%
10453 11
 
2.3%
11212 11
 
2.3%
10025 9
 
1.9%
11204 9
 
1.9%
10027 9
 
1.9%
10460 9
 
1.9%
11207 8
 
1.7%
Other values (140) 375
78.0%
2023-12-09T22:33:08.356331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 841
35.0%
0 451
18.8%
2 281
 
11.7%
4 218
 
9.1%
3 196
 
8.1%
5 126
 
5.2%
6 119
 
4.9%
7 80
 
3.3%
9 50
 
2.1%
8 43
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2405
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 841
35.0%
0 451
18.8%
2 281
 
11.7%
4 218
 
9.1%
3 196
 
8.1%
5 126
 
5.2%
6 119
 
4.9%
7 80
 
3.3%
9 50
 
2.1%
8 43
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
Common 2405
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 841
35.0%
0 451
18.8%
2 281
 
11.7%
4 218
 
9.1%
3 196
 
8.1%
5 126
 
5.2%
6 119
 
4.9%
7 80
 
3.3%
9 50
 
2.1%
8 43
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2405
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 841
35.0%
0 451
18.8%
2 281
 
11.7%
4 218
 
9.1%
3 196
 
8.1%
5 126
 
5.2%
6 119
 
4.9%
7 80
 
3.3%
9 50
 
2.1%
8 43
 
1.8%
Distinct5
Distinct (%)1.0%
Missing3
Missing (%)0.6%
Memory size31.2 KiB
2023-12-09T22:33:08.538242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters4329
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMANHATTAN
2nd rowMANHATTAN
3rd rowMANHATTAN
4th rowMANHATTAN
5th rowMANHATTAN
ValueCountFrequency (%)
brooklyn 142
28.6%
bronx 119
24.0%
queens 104
21.0%
manhattan 101
20.4%
staten 15
 
3.0%
is 15
 
3.0%
2023-12-09T22:33:08.812421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
945
21.8%
N 582
13.4%
O 403
9.3%
A 318
 
7.3%
B 261
 
6.0%
R 261
 
6.0%
T 232
 
5.4%
E 223
 
5.2%
K 142
 
3.3%
L 142
 
3.3%
Other values (8) 820
18.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3384
78.2%
Space Separator 945
 
21.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 582
17.2%
O 403
11.9%
A 318
9.4%
B 261
 
7.7%
R 261
 
7.7%
T 232
 
6.9%
E 223
 
6.6%
K 142
 
4.2%
L 142
 
4.2%
Y 142
 
4.2%
Other values (7) 678
20.0%
Space Separator
ValueCountFrequency (%)
945
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3384
78.2%
Common 945
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 582
17.2%
O 403
11.9%
A 318
9.4%
B 261
 
7.7%
R 261
 
7.7%
T 232
 
6.9%
E 223
 
6.6%
K 142
 
4.2%
L 142
 
4.2%
Y 142
 
4.2%
Other values (7) 678
20.0%
Common
ValueCountFrequency (%)
945
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4329
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
945
21.8%
N 582
13.4%
O 403
9.3%
A 318
 
7.3%
B 261
 
6.0%
R 261
 
6.0%
T 232
 
5.4%
E 223
 
5.2%
K 142
 
3.3%
L 142
 
3.3%
Other values (8) 820
18.9%
Distinct414
Distinct (%)86.1%
Missing3
Missing (%)0.6%
Memory size31.2 KiB
2023-12-09T22:33:09.118498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.856548857
Min length7

Characters and Unicode

Total characters4260
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)73.2%

Sample

1st row40.871278
2nd row40.866053
3rd row40.848908
4th row40.856693
5th row40.820953
ValueCountFrequency (%)
40.86079 3
 
0.6%
40.862109 3
 
0.6%
40.69719 3
 
0.6%
40.791728 3
 
0.6%
40.884953 3
 
0.6%
40.603622 2
 
0.4%
40.829232 2
 
0.4%
40.65843 2
 
0.4%
40.657459 2
 
0.4%
40.82316 2
 
0.4%
Other values (404) 456
94.8%
2023-12-09T22:33:09.570178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 721
16.9%
0 676
15.9%
. 481
11.3%
8 396
9.3%
7 390
9.2%
6 384
9.0%
5 288
 
6.8%
3 236
 
5.5%
9 235
 
5.5%
2 235
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3779
88.7%
Other Punctuation 481
 
11.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 721
19.1%
0 676
17.9%
8 396
10.5%
7 390
10.3%
6 384
10.2%
5 288
 
7.6%
3 236
 
6.2%
9 235
 
6.2%
2 235
 
6.2%
1 218
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4260
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 721
16.9%
0 676
15.9%
. 481
11.3%
8 396
9.3%
7 390
9.2%
6 384
9.0%
5 288
 
6.8%
3 236
 
5.5%
9 235
 
5.5%
2 235
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 721
16.9%
0 676
15.9%
. 481
11.3%
8 396
9.3%
7 390
9.2%
6 384
9.0%
5 288
 
6.8%
3 236
 
5.5%
9 235
 
5.5%
2 235
 
5.5%
Distinct414
Distinct (%)86.1%
Missing3
Missing (%)0.6%
Memory size31.6 KiB
2023-12-09T22:33:09.895013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.887733888
Min length7

Characters and Unicode

Total characters4756
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique352 ?
Unique (%)73.2%

Sample

1st row-73.911516
2nd row-73.924835
3rd row-73.930948
4th row-73.937093
5th row-73.951145
ValueCountFrequency (%)
73.864577 3
 
0.6%
73.970845 3
 
0.6%
73.840524 3
 
0.6%
73.787192 3
 
0.6%
73.930672 3
 
0.6%
73.869625 2
 
0.4%
73.775951 2
 
0.4%
73.929076 2
 
0.4%
73.908427 2
 
0.4%
73.936159 2
 
0.4%
Other values (404) 456
94.8%
2023-12-09T22:33:10.339535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 792
16.7%
3 674
14.2%
9 507
10.7%
- 481
10.1%
. 481
10.1%
8 376
7.9%
4 262
 
5.5%
1 262
 
5.5%
5 236
 
5.0%
2 234
 
4.9%
Other values (2) 451
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3794
79.8%
Dash Punctuation 481
 
10.1%
Other Punctuation 481
 
10.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 792
20.9%
3 674
17.8%
9 507
13.4%
8 376
9.9%
4 262
 
6.9%
1 262
 
6.9%
5 236
 
6.2%
2 234
 
6.2%
6 226
 
6.0%
0 225
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 481
100.0%
Other Punctuation
ValueCountFrequency (%)
. 481
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 792
16.7%
3 674
14.2%
9 507
10.7%
- 481
10.1%
. 481
10.1%
8 376
7.9%
4 262
 
5.5%
1 262
 
5.5%
5 236
 
5.0%
2 234
 
4.9%
Other values (2) 451
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 792
16.7%
3 674
14.2%
9 507
10.7%
- 481
10.1%
. 481
10.1%
8 376
7.9%
4 262
 
5.5%
1 262
 
5.5%
5 236
 
5.0%
2 234
 
4.9%
Other values (2) 451
9.5%
Distinct18
Distinct (%)3.7%
Missing3
Missing (%)0.6%
Memory size27.6 KiB
2023-12-09T22:33:10.532964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.392931393
Min length1

Characters and Unicode

Total characters670
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row12
3rd row12
4th row12
5th row9
ValueCountFrequency (%)
12 48
 
10.0%
3 42
 
8.7%
5 40
 
8.3%
1 39
 
8.1%
11 37
 
7.7%
7 33
 
6.9%
4 32
 
6.7%
10 31
 
6.4%
8 28
 
5.8%
6 28
 
5.8%
Other values (8) 123
25.6%
2023-12-09T22:33:10.831131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 265
39.6%
2 72
 
10.7%
3 59
 
8.8%
4 50
 
7.5%
5 46
 
6.9%
6 44
 
6.6%
7 42
 
6.3%
8 35
 
5.2%
0 31
 
4.6%
9 26
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 265
39.6%
2 72
 
10.7%
3 59
 
8.8%
4 50
 
7.5%
5 46
 
6.9%
6 44
 
6.6%
7 42
 
6.3%
8 35
 
5.2%
0 31
 
4.6%
9 26
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 265
39.6%
2 72
 
10.7%
3 59
 
8.8%
4 50
 
7.5%
5 46
 
6.9%
6 44
 
6.6%
7 42
 
6.3%
8 35
 
5.2%
0 31
 
4.6%
9 26
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 265
39.6%
2 72
 
10.7%
3 59
 
8.8%
4 50
 
7.5%
5 46
 
6.9%
6 44
 
6.6%
7 42
 
6.3%
8 35
 
5.2%
0 31
 
4.6%
9 26
 
3.9%
Distinct51
Distinct (%)10.6%
Missing3
Missing (%)0.6%
Memory size27.8 KiB
2023-12-09T22:33:11.085681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.810810811
Min length1

Characters and Unicode

Total characters871
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row7
ValueCountFrequency (%)
17 23
 
4.8%
8 22
 
4.6%
16 20
 
4.2%
10 16
 
3.3%
31 15
 
3.1%
37 15
 
3.1%
42 15
 
3.1%
14 15
 
3.1%
41 14
 
2.9%
2 13
 
2.7%
Other values (41) 313
65.1%
2023-12-09T22:33:11.458094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 195
22.4%
3 138
15.8%
4 131
15.0%
2 116
13.3%
7 68
 
7.8%
6 54
 
6.2%
8 51
 
5.9%
5 47
 
5.4%
0 37
 
4.2%
9 34
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 871
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 195
22.4%
3 138
15.8%
4 131
15.0%
2 116
13.3%
7 68
 
7.8%
6 54
 
6.2%
8 51
 
5.9%
5 47
 
5.4%
0 37
 
4.2%
9 34
 
3.9%

Most occurring scripts

ValueCountFrequency (%)
Common 871
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 195
22.4%
3 138
15.8%
4 131
15.0%
2 116
13.3%
7 68
 
7.8%
6 54
 
6.2%
8 51
 
5.9%
5 47
 
5.4%
0 37
 
4.2%
9 34
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 871
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 195
22.4%
3 138
15.8%
4 131
15.0%
2 116
13.3%
7 68
 
7.8%
6 54
 
6.2%
8 51
 
5.9%
5 47
 
5.4%
0 37
 
4.2%
9 34
 
3.9%
Distinct338
Distinct (%)70.3%
Missing3
Missing (%)0.6%
Memory size28.5 KiB
2023-12-09T22:33:11.830029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.272349272
Min length1

Characters and Unicode

Total characters1574
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)47.4%

Sample

1st row299
2nd row291
3rd row269
4th row273
5th row22301
ValueCountFrequency (%)
177 5
 
1.0%
330 5
 
1.0%
291 4
 
0.8%
73 4
 
0.8%
77 4
 
0.8%
285 4
 
0.8%
69 4
 
0.8%
43 3
 
0.6%
22102 3
 
0.6%
18302 3
 
0.6%
Other values (328) 442
91.9%
2023-12-09T22:33:12.332866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 259
16.5%
2 218
13.9%
0 184
11.7%
3 182
11.6%
4 153
9.7%
9 126
8.0%
7 123
7.8%
5 113
7.2%
8 110
7.0%
6 106
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1574
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 259
16.5%
2 218
13.9%
0 184
11.7%
3 182
11.6%
4 153
9.7%
9 126
8.0%
7 123
7.8%
5 113
7.2%
8 110
7.0%
6 106
6.7%

Most occurring scripts

ValueCountFrequency (%)
Common 1574
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 259
16.5%
2 218
13.9%
0 184
11.7%
3 182
11.6%
4 153
9.7%
9 126
8.0%
7 123
7.8%
5 113
7.2%
8 110
7.0%
6 106
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 259
16.5%
2 218
13.9%
0 184
11.7%
3 182
11.6%
4 153
9.7%
9 126
8.0%
7 123
7.8%
5 113
7.2%
8 110
7.0%
6 106
6.7%

bin
Text

MISSING 

Distinct411
Distinct (%)85.8%
Missing5
Missing (%)1.0%
Memory size30.2 KiB
2023-12-09T22:33:12.753284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters3353
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique348 ?
Unique (%)72.7%

Sample

1st row1082045
2nd row1076776
3rd row1063703
4th row1064371
5th row1084132
ValueCountFrequency (%)
2066190 3
 
0.6%
4216655 3
 
0.6%
1076756 3
 
0.6%
2051313 3
 
0.6%
1032522 3
 
0.6%
4298234 2
 
0.4%
1076741 2
 
0.4%
1055204 2
 
0.4%
4234318 2
 
0.4%
2004690 2
 
0.4%
Other values (401) 454
94.8%
2023-12-09T22:33:13.296871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 594
17.7%
1 433
12.9%
3 413
12.3%
4 387
11.5%
2 368
11.0%
8 245
7.3%
5 243
7.2%
6 227
 
6.8%
7 224
 
6.7%
9 219
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3353
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 594
17.7%
1 433
12.9%
3 413
12.3%
4 387
11.5%
2 368
11.0%
8 245
7.3%
5 243
7.2%
6 227
 
6.8%
7 224
 
6.7%
9 219
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Common 3353
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 594
17.7%
1 433
12.9%
3 413
12.3%
4 387
11.5%
2 368
11.0%
8 245
7.3%
5 243
7.2%
6 227
 
6.8%
7 224
 
6.7%
9 219
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3353
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 594
17.7%
1 433
12.9%
3 413
12.3%
4 387
11.5%
2 368
11.0%
8 245
7.3%
5 243
7.2%
6 227
 
6.8%
7 224
 
6.7%
9 219
 
6.5%

bbl
Text

MISSING 

Distinct407
Distinct (%)85.0%
Missing5
Missing (%)1.0%
Memory size31.6 KiB
2023-12-09T22:33:13.628384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4790
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)71.0%

Sample

1st row1022150824
2nd row1022330020
3rd row1021550035
4th row1021790365
5th row1019880166
ValueCountFrequency (%)
1021720016 3
 
0.6%
4101780001 3
 
0.6%
2044320001 3
 
0.6%
2049350001 3
 
0.6%
1012230005 3
 
0.6%
3016160001 2
 
0.4%
1016560100 2
 
0.4%
3008800001 2
 
0.4%
3015500001 2
 
0.4%
2033360035 2
 
0.4%
Other values (397) 454
94.8%
2023-12-09T22:33:14.059693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1849
38.6%
1 704
 
14.7%
2 454
 
9.5%
3 452
 
9.4%
4 369
 
7.7%
5 247
 
5.2%
6 212
 
4.4%
8 187
 
3.9%
7 164
 
3.4%
9 152
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4790
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1849
38.6%
1 704
 
14.7%
2 454
 
9.5%
3 452
 
9.4%
4 369
 
7.7%
5 247
 
5.2%
6 212
 
4.4%
8 187
 
3.9%
7 164
 
3.4%
9 152
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Common 4790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1849
38.6%
1 704
 
14.7%
2 454
 
9.5%
3 452
 
9.4%
4 369
 
7.7%
5 247
 
5.2%
6 212
 
4.4%
8 187
 
3.9%
7 164
 
3.4%
9 152
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1849
38.6%
1 704
 
14.7%
2 454
 
9.5%
3 452
 
9.4%
4 369
 
7.7%
5 247
 
5.2%
6 212
 
4.4%
8 187
 
3.9%
7 164
 
3.4%
9 152
 
3.2%

nta
Text

Distinct164
Distinct (%)34.1%
Missing3
Missing (%)0.6%
Memory size62.2 KiB
2023-12-09T22:33:14.361847image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters36075
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)9.1%

Sample

1st rowMarble Hill-Inwood
2nd rowMarble Hill-Inwood
3rd rowWashington Heights North
4th rowWashington Heights North
5th rowManhattanville
ValueCountFrequency (%)
east 72
 
6.6%
heights 44
 
4.0%
south 41
 
3.7%
north 37
 
3.4%
park 37
 
3.4%
harlem 26
 
2.4%
village 25
 
2.3%
west 21
 
1.9%
side 19
 
1.7%
hill 18
 
1.6%
Other values (224) 757
69.0%
2023-12-09T22:33:14.774704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27292
75.7%
e 808
 
2.2%
a 675
 
1.9%
r 635
 
1.8%
o 634
 
1.8%
t 621
 
1.7%
n 530
 
1.5%
s 506
 
1.4%
l 484
 
1.3%
i 464
 
1.3%
Other values (45) 3426
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Space Separator 27292
75.7%
Lowercase Letter 7133
 
19.8%
Uppercase Letter 1375
 
3.8%
Dash Punctuation 264
 
0.7%
Other Punctuation 7
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 808
11.3%
a 675
9.5%
r 635
8.9%
o 634
8.9%
t 621
8.7%
n 530
 
7.4%
s 506
 
7.1%
l 484
 
6.8%
i 464
 
6.5%
h 297
 
4.2%
Other values (15) 1479
20.7%
Uppercase Letter
ValueCountFrequency (%)
H 196
14.3%
B 141
10.3%
S 135
9.8%
C 122
 
8.9%
P 98
 
7.1%
E 97
 
7.1%
M 90
 
6.5%
N 67
 
4.9%
W 56
 
4.1%
G 50
 
3.6%
Other values (14) 323
23.5%
Other Punctuation
ValueCountFrequency (%)
. 5
71.4%
' 2
 
28.6%
Space Separator
ValueCountFrequency (%)
27292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27567
76.4%
Latin 8508
 
23.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 808
 
9.5%
a 675
 
7.9%
r 635
 
7.5%
o 634
 
7.5%
t 621
 
7.3%
n 530
 
6.2%
s 506
 
5.9%
l 484
 
5.7%
i 464
 
5.5%
h 297
 
3.5%
Other values (39) 2854
33.5%
Common
ValueCountFrequency (%)
27292
99.0%
- 264
 
1.0%
. 5
 
< 0.1%
( 2
 
< 0.1%
) 2
 
< 0.1%
' 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27292
75.7%
e 808
 
2.2%
a 675
 
1.9%
r 635
 
1.8%
o 634
 
1.8%
t 621
 
1.7%
n 530
 
1.5%
s 506
 
1.4%
l 484
 
1.3%
i 464
 
1.3%
Other values (45) 3426
 
9.5%